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ORCIDSanaz Mostaghim
Person information
- affiliation: Otto von Guericke University Magdeburg, Faculty of Computer Science, Germany
- affiliation: Karlsruhe Institute of Technology, AIFB, Germany
- affiliation: University of Paderborn, Department of Electrical Engineering, Germany
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2020 – today
- 2025
[j27]Simon Anderer, Falk Schrader, Bernd Scheuermann, Sanaz Mostaghim:
Mining Two-Level Role Concepts Using Evolutionary Algorithms. SN Comput. Sci. 6(6): 563 (2025)- [c162]Rachel Ellen Brown, Qihao Shan, Klaus-Peter Stein, I. Erol Sandalciolgu, Sanaz Mostaghim:
Rank Correlation and Cluster Testing in Multi-Objective Data Analysis of Medical Data. CIBCB 2025: 1-8 - [c161]Lukas Bostelmann-Arp
, Christoph Steup, Sanaz Mostaghim:
Encodings for Multi-objective Free-Form Coverage Path Planning. EMO (1) 2025: 148-163 - [c160]Simon Anderer, Nicolas Justen, Bernd Scheuermann, Sanaz Mostaghim:
Studies on Survival Strategies to Protect Expert Knowledge in Evolutionary Algorithms for Interactive Role Mining. EvoCOP@EvoStar 2025: 33-49 - [c159]Lukas Bostelmann-Arp, Christoph Steup, Sanaz Mostaghim:
Genotype vs. Phenotype: A Crossover Operator Comparison for the Multi-Objective Coverage Path Planning Problem. GECCO 2025: 536-544 - [c158]Carlo Nübel, Malte Speidel, Sanaz Mostaghim:
Navigating Path-Influenced Environments using Evolutionary Multi-Objective Optimization. GECCO 2025: 1462-1470 - [c157]Thomas Seidelmann, Sanaz Mostaghim:
Optimization of Unequal-Area Facility Layouts for Mass-Customization Assembly Systems with AGV Material Handling. GECCO 2025: 1480-1488 - [d8]Tobias Benecke, Sanaz Mostaghim:
Code for "Tracing Genome Influence in Multi-Objective Evolutionary Algorithms". Zenodo, 2025
- [d7]Pravin Pandey, Carlo Nübel, Sanaz Mostaghim, Berend G. M. van Wachem:
Bubble dynamics data for oscillating gas flow as inlet to a quasi(pseudo) 2D fluidized bed. Zenodo, 2025 - [d6]Berend G. M. van Wachem, Carlo Nübel, Pravin Brajesh Pandey, Sanaz Mostaghim:
Software for online bubble detection, determining bubble statistics, control of input parameters, and control of fluidized beds. Zenodo, 2025 - [i16]Pravin Pandey, Julia Reuter, Christoph Steup, Sanaz Mostaghim:
The Road to Learning Explainable Inverse Kinematic Models: Graph Neural Networks as Inductive Bias for Symbolic Regression. CoRR abs/2501.13641 (2025) - [i15]Saiful Islam, Sanaz Mostaghim, Michael Hartmann:
Multi-Objective Optimization Algorithms for Energy Management Systems in Microgrids: A Control Strategy Based on a PHIL System. CoRR abs/2505.18210 (2025) - [i14]Adrian Schönnagel, Michael Dubé, Christoph Steup, Felix Keppler, Sanaz Mostaghim:
AVOID-JACK: Avoidance of Jackknifing for Swarms of Long Heavy Articulated Vehicles. CoRR abs/2511.08016 (2025) - 2024
- [j26]Qihao Shan, Sanaz Mostaghim:
Many-option collective decision making: discrete collective estimation in large decision spaces. Swarm Intell. 18(2): 215-241 (2024) - [c156]Sebastian Mai, Sanaz Mostaghim:
Decentralized Conflict Resolution for Navigation in Swarm Robotics. ANTS 2024: 215-223 - [c155]Lukas Bostelmann-Arp, Christoph Steup, Sanaz Mostaghim:
Free-Form Coverage Path Planning of Quadcopter Swarms for Search and Rescue Missions Using Multi-Objective Optimization. CEC 2024: 1-8 - [c154]Boris Djartov, Sanaz Mostaghim, Anne Papenfuß, Matthias Wies:
A Learning Classifier System Approach to Time-Critical Decision-Making in Dynamic Alternate Airport Selection. CEC 2024: 1-8 - [c153]Tomoya Hömberg, Sanaz Mostaghim, Satoru Hiwa, Tomoyuki Hiroyasu:
Optimized Drug Design using Multi-Objective Evolutionary Algorithms with SELFIES. CEC 2024: 1-8 - [c152]Saiful Islam, Sanaz Mostaghim, Michael Hartmann:
A Survey on Multi-Objective Optimization in Microgrid Systems. CEC 2024: 1-8 - [c151]Markus Rothkötter, Niklas Kluge, Sanaz Mostaghim:
Application of a Bi-Objective EA for RAN Resources Optimization in a Dynamic Scenario. CEC 2024: 1-8 - [c150]Carlo Nübel, Alexander Dockhorn, Sanaz Mostaghim:
Match Point AI: A Novel AI Framework for Evaluating Data-Driven Tennis Strategies. CoG 2024: 1-4 - [c149]Simon Anderer, Bernd Scheuermann, Sanaz Mostaghim:
Studies on Multi-objective Role Mining in ERP Systems. EvoStar 2024: 81-96 - [c148]Jens Weise, Sanaz Mostaghim:
Finding Sets of Solutions for Temporal Uncertain Problems. EvoApplications@EvoStar 2024: 209-223 - [c147]Simon Anderer, Nicolas Justen, Bernd Scheuermann, Sanaz Mostaghim:
Survival Strategies for Evolutionary Role Mining Algorithms Using Expert Knowledge. GECCO Companion 2024: 623-626 - [c146]Dominik Weikert, Christoph Steup, Sanaz Mostaghim:
Adverse Weather Benchmark Dataset for LiDAR-based 3D Object Recognition and Segmentation in Autonomous Driving. CAI 2024: 125-126 - [c145]Eva Röper, Jens Weise, Christoph Steup, Sanaz Mostaghim:
Innovization for Route Planning Applied to an Uber Movement Speeds Dataset for Berlin. PPSN (4) 2024: 100-116 - [c144]Julia Reuter, Viktor Martinek, Roland Herzog, Sanaz Mostaghim:
Unit-Aware Genetic Programming for the Development of Empirical Equations. PPSN (1) 2024: 168-183 - [d5]Hani Elmestikawy, Julia Reuter, Fabien Evrard, Sanaz Mostaghim, Berend G. M. van Wachem:
Data for the paper: "Deterministic drag modelling for spherical particles in Stokes regime using data-driven approaches". Zenodo, 2024 - [d4]Sanaz Mostaghim, Andy Pryke:
Heatmap Visualisation of Population Based Multi Objective Algorithms. Zenodo, 2024 - [i13]Tomoya Hömberg, Sanaz Mostaghim, Satoru Hiwa, Tomoyuki Hiroyasu:
Optimized Drug Design using Multi-Objective Evolutionary Algorithms with SELFIES. CoRR abs/2405.00401 (2024) - [i12]Julia Reuter, Viktor Martinek, Roland Herzog, Sanaz Mostaghim:
Unit-Aware Genetic Programming for the Development of Empirical Equations. CoRR abs/2405.18896 (2024) - [i11]Viktor Martinek, Julia Reuter, Ophelia Frotscher, Sanaz Mostaghim, Markus Richter, Roland Herzog:
Shape Constraints in Symbolic Regression using Penalized Least Squares. CoRR abs/2405.20800 (2024) - [i10]Carlo Nübel, Alexander Dockhorn, Sanaz Mostaghim:
Match Point AI: A Novel AI Framework for Evaluating Data-Driven Tennis Strategies. CoRR abs/2408.05960 (2024) - 2023
- [j25]Jens Weise, Sanaz Mostaghim:
A comparison of distance metrics for the multi-objective pathfinding problem. Nat. Comput. 22(2): 315-328 (2023) - [j24]Mahrokh Javadi, Sanaz Mostaghim:
Analysis of inter and intra-front operations in multi-modal multi-objective optimization problems. Nat. Comput. 22(2): 341-356 (2023) - [j23]Dominik Weikert, Christoph Steup, Sanaz Mostaghim:
Survey on Multi-Objective Task Allocation Algorithms for IoT Networks. Sensors 23(1): 142 (2023) - [j22]Simon Anderer, Tobias Kempter, Bernd Scheuermann, Sanaz Mostaghim:
Dynamic Optimization of Role Concepts for Role-Based Access Control Using Evolutionary Algorithms. SN Comput. Sci. 4(4): 416 (2023) - [j21]Qihao Shan, Sanaz Mostaghim:
Noise-resistant and scalable collective preference learning via ranked voting in swarm robotics. Swarm Intell. 17(1-2): 5-26 (2023) - [j20]Alexander Dockhorn, Martin Kirst, Sanaz Mostaghim, Martin Wieczorek, Heiner Zille:
Evolutionary Algorithm for Parameter Optimization of Context-Steering Agents. IEEE Trans. Games 15(1): 26-35 (2023) - [c143]Sanaz Mostaghim, Qihao Shan, Christiane Desel, Alexander Duscha, Aiden Haghikia, Tobias Hegelmaier, Felix Kuhn, Stefan Remy:
Medical and Behavioral Knowledge Discovery using Multi-Objective Analysis. CIBCB 2023: 1-8 - [c142]Julia Heise, Sanaz Mostaghim:
Online Learning Hyper-Heuristics in Multi-Objective Evolutionary Algorithms. EMO 2023: 162-175 - [c141]Sebastian Mai, Tobias Benecke, Sanaz Mostaghim:
MACO: A Real-World Inspired Benchmark for Multi-objective Evolutionary Algorithms. EMO 2023: 305-318 - [c140]Julia Reuter, Hani Elmestikawy, Fabien Evrard, Sanaz Mostaghim, Berend G. M. van Wachem:
Graph Networks as Inductive Bias for Genetic Programming: Symbolic Models for Particle-Laden Flows. EuroGP 2023: 36-51 - [c139]Julia Heise, Jens Weise, Sanaz Mostaghim:
Towards Benchmarking of Pathfinding Algorithms in Path-Influenced Environments. GECCO Companion 2023: 69-70 - [c138]Tobias Benecke, Oliver Antons, Sanaz Mostaghim, Julia C. Arlinghaus:
A Generalized Circular Supply Chain Problem for Multi-objective Evolutionary Algorithms. GECCO Companion 2023: 355-358 - [c137]Markus Rothkötter, Sanaz Mostaghim:
A Preference-based Activity Scheduling Algorithm Using Many-objective Optimization. GECCO Companion 2023: 407-410 - [c136]Lukas Bostelmann-Arp, Christoph Steup, Sanaz Mostaghim:
Multi-Objective Seed Curve Optimization for Coverage Path Planning in Precision Farming. GECCO 2023: 1312-1320 - [c135]Boris Djartov, Sanaz Mostaghim:
Multi-objective Multiplexer Decision Making Benchmark Problem. GECCO Companion 2023: 1676-1683 - [c134]Iffat Jamil, Sanaz Mostaghim, Berend G. M. van Wachem, Victor Chéron, Max Hausmann:
Landscape Analysis of Multi-objective Control of Fluidized Beds. GECCO Companion 2023: 1950-1955 - [c133]Sanaz Mostaghim, Qihao Shan, Christiane Desel, Alexander Duscha, Aiden Haghikia, Tobias Hegelmaier:
Unfolding the Variability of Clinical Data in Parkinson Treatment using Multi-objective Analysis. CAI 2023: 120-121 - [c132]Thomas Seidelmann, Sanaz Mostaghim:
Surrogate Functions and Digital Twin Simulation for Modern Facility Layout Planning. CAI 2023: 197-198 - [c131]Tobias Benecke, Oliver Antons, Sanaz Mostaghim, Julia C. Arlinghaus:
A Coevolution Approach for the Multi-objective Circular Supply Chain Problem. CAI 2023: 222-223 - [c130]Markus Rothkötter, Jens Weise, Sanaz Mostaghim:
Towards a new Model for a 6G Network-of-Networks. CAI 2023: 255-256 - [c129]Lukas Bostelmann-Arp, Christoph Steup, Sanaz Mostaghim:
Linking Field Decomposition and Coverage Path Planning: A Coevolution Approach. CAI 2023: 294-295 - [c128]Sanaz Mostaghim:
Next Generation of Multi-Objective Evolutionary Optimization and Decision-Making Algorithms. IJCCI 2023: 23 - [c127]Simon Anderer, Nicolas Justen, Bernd Scheuermann, Sanaz Mostaghim:
Interactive Role Mining Including Expert Knowledge into Evolutionary Algorithms. IJCCI 2023: 151-162 - [c126]Oliver Antons, Tobias Benecke, Sanaz Mostaghim, Julia C. Arlinghaus:
Sustainability in Chemical Production - Multi-Objective Distributed Control. SoMeT 2023: 211-219 - [c125]Tobias Benecke, Sanaz Mostaghim:
Effects of Optimal Genetic Material in the Initial Population of Evolutionary Algorithms. SSCI 2023: 1386-1391 - [c124]Julia Reuter, Pravin Pandey, Sanaz Mostaghim:
Multi-Objective Island Model Genetic Programming for Predicting the Stokes Flow around a Sphere. SSCI 2023: 1485-1490 - [d3]Jens Weise, Sanaz Mostaghim:
Dataset (Pareto fronts and sets) for the Multi-objective pathfinding problem. Zenodo, 2023 - 2022
- [b3]Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher:
Computational Intelligence - A Methodological Introduction, Third Edition. Texts in Computer Science, Springer 2022, ISBN 978-3-030-42226-4, pp. 1-625 - [j19]Dominik Fischer, Sanaz Mostaghim, Thomas Seidelmann:
Exploring Dynamic Pandemic Containment Strategies Using Multi-Objective Optimization [Research Frontier]. IEEE Comput. Intell. Mag. 17(3): 54-65 (2022) - [j18]Dominik Weikert, Christoph Steup, Sanaz Mostaghim:
Availability-Aware Multiobjective Task Allocation Algorithm for Internet of Things Networks. IEEE Internet Things J. 9(15): 12945-12953 (2022) - [j17]Jens Weise, Sanaz Mostaghim:
A Scalable Many-Objective Pathfinding Benchmark Suite. IEEE Trans. Evol. Comput. 26(1): 188-194 (2022) - [c123]Qihao Shan, Sanaz Mostaghim:
Benchmarking Performances of Collective Decision-Making Strategies with Respect to Communication Bandwidths in Discrete Collective Estimation. ANTS Conference 2022: 54-65 - [c122]Sebastian Mai, Sanaz Mostaghim:
Collective Decision-Making for Conflict Resolution in Multi-Agent Pathfinding. ANTS Conference 2022: 79-90 - [c121]Sebastian Mai, Maximilian Deubel, Sanaz Mostaghim:
Multi-Objective Roadmap Optimization for Multiagent Navigation. CEC 2022: 1-8 - [c120]Julia Reuter, Manoj Cendrollu, Fabien Evrard, Sanaz Mostaghim, Berend G. M. van Wachem:
Towards Improving Simulations of Flows around Spherical Particles Using Genetic Programming. CEC 2022: 1-8 - [c119]Thomas Seidelmann, Sanaz Mostaghim:
Finding Cost-Effective Re-Layouting Solutions in Modern Brownfield Facility Layout Planning. CEC 2022: 1-8 - [c118]Dominik Weikert, Christoph Steup, Sanaz Mostaghim:
Multi-Objective Task Allocation for Dynamic IoT Networks. COINS 2022: 1-5 - [c117]Julia Reuter, Christoph Steup, Sanaz Mostaghim:
Genetic Programming-Based Inverse Kinematics for Robotic Manipulators. EuroGP 2022: 130-145 - [c116]Simon Anderer, Falk Schrader, Bernd Scheuermann, Sanaz Mostaghim:
Evolutionary Algorithms for the Constrained Two-Level Role Mining Problem. EvoCOP 2022: 79-94 - [c115]Tobias Benecke, Sanaz Mostaghim:
Estimating the quality of initial populations in multi-objective evolutionary algorithms. GECCO Companion 2022: 324-327 - [c114]Dominik Weikert, Christoph Steup, Sanaz Mostaghim:
Surrogate models for IoT task allocation optimization. GECCO Companion 2022: 364-366 - [c113]Sebastian Mai, Nele Traichel, Sanaz Mostaghim:
Driving Swarm: A Swarm Robotics Framework for Intelligent Navigation in a Self-organized World. ICRA 2022: 1-7 - [c112]Simon Anderer, Alpay Sahin, Bernd Scheuermann, Sanaz Mostaghim:
On using Authorization Traces to Support Role Mining with Evolutionary Algorithms. IJCCI 2022: 121-132 - [c111]Boris Djartov, Sanaz Mostaghim, Anne Papenfuß, Matthias Wies:
Description and First Evaluation of an Approach for a Pilot Decision Support System Based on Multi-attribute Decision Making. SSCI 2022: 141-147 - 2021
- [j16]Sanaz Mostaghim:
IEEE CIS VP-Member Activities Vision Statement [Society Briefs]. IEEE Comput. Intell. Mag. 16(1): 8 (2021) - [j15]Victor Charpenay, Daniel Schraudner, Thomas Seidelmann, Torsten Spieldenner, Jens Weise, René Schubotz, Sanaz Mostaghim, Andreas Harth:
MOSAIK: A Formal Model for Self-Organizing Manufacturing Systems. IEEE Pervasive Comput. 20(1): 9-18 (2021) - [j14]Palina Bartashevich, Sanaz Mostaghim:
Multi-featured collective perception with Evidence Theory: tackling spatial correlations. Swarm Intell. 15(1-2): 83-110 (2021) - [j13]Qihao Shan, Sanaz Mostaghim:
Achieving task allocation in swarm intelligence with bi-objective embodied evolution. Swarm Intell. 15(3): 287-310 (2021) - [j12]Qihao Shan, Sanaz Mostaghim:
Discrete collective estimation in swarm robotics with distributed Bayesian belief sharing. Swarm Intell. 15(4): 377-402 (2021) - [c110]Rohit Salgotra, Amiram Moshaiov, Thomas Seidelmann, Dominik Fischer, Sanaz Mostaghim:
Optimal Control Policies to Address the Pandemic Health-Economy Dilemma. CEC 2021: 720-727 - [c109]Tobias Benecke, Sanaz Mostaghim:
Tracking the Heritage of Genes in Evolutionary Algorithms. CEC 2021: 1800-1807 - [c108]Alexander Dockhorn, Sanaz Mostaghim, Martin Kirst, Martin Zettwitz:
Multi-Objective Optimization and Decision-Making in Context Steering. CoG 2021: 1-8 - [c107]Mahrokh Javadi, Sanaz Mostaghim:
Using Neighborhood-Based Density Measures for Multimodal Multi-objective Optimization. EMO 2021: 335-345 - [c106]Jens Weise, Sanaz Mostaghim:
Many-Objective Pathfinding Based on Fréchet Similarity Metric. EMO 2021: 375-386 - [c105]Florian Uhde, Sanaz Mostaghim:
Dissecting Neural Networks Filter Responses for Artistic Style Transfer. EvoMUSART 2021: 297-312 - [c104]Heiner Zille, Sanaz Mostaghim, Fabien Evrard, Berend G. M. van Wachem:
Unit-aware multi-objective genetic programming for the prediction of the stokes flow around a sphere. GECCO Companion 2021: 327-328 - [c103]Simon Anderer, Tobias Kempter, Bernd Scheuermann, Sanaz Mostaghim:
The Dynamic Role Mining Problem: Role Mining in Dynamically Changing Business Environments. IJCCI 2021: 37-48 - [c102]Simon Anderer, Bernd Scheuermann, Sanaz Mostaghim, Patrick Bauerle, Matthias Beil:
RMPlib: A Library of Benchmarks for the Role Mining Problem. SACMAT 2021: 3-13 - [c101]Tobias Benecke, Sanaz Mostaghim:
The Impact of Population Size on the Convergence of Multi-objective Evolutionary Algorithms. SSCI 2021: 1-8 - [c100]Mahrokh Javadi, Sanaz Mostaghim:
A Multi-objective Multimodal Evolutionary Algorithm Using a Novel Tournament and Environmental Selections. SSCI 2021: 1-7 - [c99]Thomas Seidelmann, Jens Weise, Sanaz Mostaghim:
Meeting Demands for Mass Customization: A Hybrid Organic Computing Approach. SSCI 2021: 1-8 - [c98]Qihao Shan, Alexander Heck, Sanaz Mostaghim:
Discrete Collective Estimation in Swarm Robotics with Ranked Voting Systems. SSCI 2021: 1-8 - [c97]Dominik Weikert, Christoph Steup, David Atienza, Sanaz Mostaghim:
Mobility-Aware Multi-Objective Task Allocation for Wireless Sensor Networks. SSCI 2021: 1-8 - [c96]Jens Weise, Sanaz Mostaghim:
A Customized Niching Methodology for the Many-Objective Pathfinding Problem. SSCI 2021: 1-8 - [c95]Jens Weise, Heiner Zille, Sanaz Mostaghim:
A Comparative Study of Different Encodings on the Multi-Objective Pathfinding Problem. SSCI 2021: 1-8 - [i9]Rohit Salgotra, Thomas Seidelmann, Dominik Fischer, Sanaz Mostaghim, Amiram Moshaiov:
Optimal Control Policies to Address the Pandemic Health-Economy Dilemma. CoRR abs/2102.12279 (2021) - 2020
- [j11]Dominik Weikert, Sebastian Mai, Sanaz Mostaghim:
Particle Swarm Contour Search Algorithm. Entropy 22(4): 407 (2020) - [c94]Qihao Shan, Sanaz Mostaghim:
Collective Decision Making in Swarm Robotics with Distributed Bayesian Hypothesis Testing. ANTS Conference 2020: 55-67 - [c93]Sebastian Mai, Sanaz Mostaghim:
Modeling Pathfinding for Swarm Robotics. ANTS Conference 2020: 190-202 - [c92]Mahrokh Javadi, Cristian Ramírez-Atencia, Sanaz Mostaghim:
A Novel Grid-based Crowding Distance for Multimodal Multi-objective Optimization. CEC 2020: 1-8 - [c91]Cristian Ramírez-Atencia, Tobias Benecke, Sanaz Mostaghim:
T-EA: A Traceable Evolutionary Algorithm. CEC 2020: 1-8 - [c90]Jens Weise, Sebastian Mai, Heiner Zille, Sanaz Mostaghim:
On the Scalable Multi-Objective Multi-Agent Pathfinding Problem. CEC 2020: 1-8 - [c89]Akshay Thakur, Robert Beck, Sanaz Mostaghim, Daniel Großmann:
Machine Learning for evaluating Kaizens in Volkswagen Production System - An Industrial Case study. DSAA 2020: 781-782 - [c88]Akshay Thakur, Robert Beck, Sanaz Mostaghim, Daniel Großmann:
Survey into predictive key performance indicator analysis from data mining perspective. ETFA 2020: 476-483 - [c87]Jens Weise, Sanaz Mostaghim:
A many-objective route planning benchmark problem for navigation. GECCO Companion 2020: 183-184 - [c86]Dominik Weikert, Christoph Steup, Sanaz Mostaghim:
Enhancing Resilience in IoT Networks using Organic Computing. GI-Jahrestagung 2020: 1205-1214 - [c85]Sanaz Mostaghim:
Collective and Individual Decision-Making in Swarm Robotics. IJCCI 2020: 7 - [c84]Simon Anderer, Daniel Kreppein, Bernd Scheuermann, Sanaz Mostaghim:
The addRole-EA: A New Evolutionary Algorithm for the Role Mining Problem. IJCCI 2020: 155-166 - [c83]Sanaz Mostaghim:
Collective and Individual Decision-Making in Swarm Robotics. ROBOVIS 2020: 7 - [c82]Dominik Weikert, Christoph Steup, Sanaz Mostaghim:
Multi-Objective Task Allocation for Wireless Sensor Networks. SSCI 2020: 181-188 - [c81]Palina Bartashevich, Doreen Koerte, Sanaz Mostaghim:
Impact of Communication Topology on PSO-based Swarms in Vector Fields. SSCI 2020: 497-504 - [c80]Agha Ali Haider Qizilbash, Christian Henkel, Sanaz Mostaghim:
Ant Colony Optimization based Multi-Robot Planner for Combined Task Allocation and Path Finding. UR 2020: 487-493 - [d2]Jens Weise, Sanaz Mostaghim:
Scalable Many-Objective Pathfinding Benchmark Suite Pareto-fronts and Sets. IEEE DataPort, 2020 - [i8]Cristian Ramírez-Atencia, Sanaz Mostaghim, David Camacho:
sKPNSGA-II: Knee point based MOEA with self-adaptive angle for Mission Planning Problems. CoRR abs/2002.08867 (2020) - [i7]Jens Weise, Sanaz Mostaghim:
Scalable Many-Objective Pathfinding Benchmark Suite. CoRR abs/2010.04501 (2020)
2010 – 2019
- 2019
- [j10]Xenija Neufeld, Sanaz Mostaghim, Dario L. Sancho-Pradel, Sandy Brand:
Building a Planner: A Survey of Planning Systems Used in Commercial Video Games. IEEE Trans. Games 11(2): 91-108 (2019) - [c79]Simon M. Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Pérez-Liébana, Sanaz Mostaghim, Rudolf Kruse:
A Local Approach to Forward Model Learning: Results on the Game of Life Game. CoG 2019: 1-8 - [c78]Xenija Neufeld, Sanaz Mostaghim, Diego Perez Liebana:
Evolving Game State Evaluation Functions for a Hybrid Planning Approach. CoG 2019: 1-8 - [c77]Heiner Zille, Sanaz Mostaghim:
Linear Search Mechanism for Multi- and Many-Objective Optimisation. EMO 2019: 399-410 - [c76]Sebastian Mai, Heiner Zille, Christoph Steup, Sanaz Mostaghim:
Online Optimization of Movement Cost for Robotic Applications of PSO. EPIA (2) 2019: 307-318 - [c75]Palina Bartashevich, Sanaz Mostaghim:
Ising Model as a Switch Voting Mechanism in Collective Perception. EPIA (2) 2019: 617-629 - [c74]Palina Bartashevich, Sanaz Mostaghim:
Benchmarking Collective Perception: New Task Difficulty Metrics for Collective Decision-Making. EPIA (1) 2019: 699-711 - [c73]Palina Bartashevich, Sanaz Mostaghim:
Positive impact of isomorphic changes in the environment on collective decision-making. GECCO (Companion) 2019: 105-106 - [c72]Mardé Helbig, Heiner Zille, Mahrokh Javadi, Sanaz Mostaghim:
Performance of dynamic algorithms on the dynamic distance minimization problem. GECCO (Companion) 2019: 205-206 - [c71]Mahrokh Javadi, Heiner Zille, Sanaz Mostaghim:
Modified crowding distance and mutation for multimodal multi-objective optimization. GECCO (Companion) 2019: 211-212 - [c70]Sebastian Mai, Heiner Zille, Christoph Steup, Sanaz Mostaghim:
Multi-objective collective search and movement-based metrics in swarm robotics. GECCO (Companion) 2019: 387-388 - [c69]Jens Weise, Steven Benkhardt, Sanaz Mostaghim:
Graph-based multi-objective generation of customised wiring harnesses. GECCO (Companion) 2019: 407-408 - [e2]Kalyanmoy Deb, Erik D. Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, Patrick M. Reed:
Evolutionary Multi-Criterion Optimization - 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings. Lecture Notes in Computer Science 11411, Springer 2019, ISBN 978-3-030-12597-4 [contents] - [i6]Simon M. Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Pérez-Liébana, Sanaz Mostaghim, Rudolf Kruse:
A Local Approach to Forward Model Learning: Results on the Game of Life Game. CoRR abs/1903.12508 (2019) - [i5]Alexander Dockhorn, Sanaz Mostaghim:
Introducing the Hearthstone-AI Competition. CoRR abs/1906.04238 (2019) - 2018
- [j9]Sanaz Mostaghim, Christoph Steup, Heiner Zille:
Multi-objective distance minimization problems - applications in technical systems. Autom. 66(11): 964-974 (2018) - [j8]Heiner Zille, Hisao Ishibuchi, Sanaz Mostaghim, Yusuke Nojima:
A Framework for Large-Scale Multiobjective Optimization Based on Problem Transformation. IEEE Trans. Evol. Comput. 22(2): 260-275 (2018) - [c68]Xenija Neufeld, Sanaz Mostaghim, Sandy Brand:
A Hybrid Approach to Planning and Execution in Dynamic Environments Through Hierarchical Task Networks and Behavior Trees. AIIDE 2018: 201-207 - [c67]Palina Bartashevich, Welf Knors, Sanaz Mostaghim:
Vector Field Benchmark for Collective Search in Unknown Dynamic Environments. ANTS Conference 2018: 411-419 - [c66]Hemant Kumar Singh, Kalyan Shankar Bhattacharjee, Tapabrata Ray, Sanaz Mostaghim:
Investigation of a Simple Distance Based Ranking Metric for Decomposition-Based Multi/Many-Objective Evolutionary Algorithms. Australasian Conference on Artificial Intelligence 2018: 384-396 - [c65]Florian Uhde, Sanaz Mostaghim:
Towards a General Framework for Artistic Style Transfer. EvoMUSART 2018: 177-193 - [c64]Dominik Fischer, Sanaz Mostaghim, Larissa Albantakis:
How swarm size during evolution impacts the behavior, generalizability, and brain complexity of animats performing a spatial navigation task. GECCO 2018: 77-84 - [c63]Palina Bartashevich, Illya Bakurov, Sanaz Mostaghim, Leonardo Vanneschi:
Evolving PSO algorithm design in vector fields using geometric semantic GP. GECCO (Companion) 2018: 262-263 - [c62]Frederick Sander, Heiner Zille, Sanaz Mostaghim:
Transfer strategies from single- to multi-objective grouping mechanisms. GECCO 2018: 729-736 - [c61]Simon Anderer, Thanh-Ha Vu, Bernd Scheuermann, Sanaz Mostaghim:
Meta Heuristics for Dynamic Machine Scheduling: A Review of Research Efforts and Industrial Requirements. IJCCI 2018: 192-203 - [c60]Palina Bartashevich, Illya Bakurov, Sanaz Mostaghim, Leonardo Vanneschi:
PSO-Based Search Rules for Aerial Swarms Against Unexplored Vector Fields via Genetic Programming. PPSN (1) 2018: 41-53 - [c59]Jens Weise, Steven Benkhardt, Sanaz Mostaghim:
A Survey on Graph-based Systems in Manufacturing Processes. SSCI 2018: 112-119 - [c58]Lukas Hoyer, Christoph Steup, Sanaz Mostaghim:
A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation. SSCI 2018: 1388-1395 - [c57]Asema Hassan, Sanaz Mostaghim:
Understanding Collective Decision-Making in Natural Swarms. SSCI 2018: 1563-1570 - [c56]Sebastian Mai, Christoph Steup, Sanaz Mostaghim:
Simultaneous Localisation and Optimisation for Swarm Robotics. SSCI 2018: 1998-2004 - [i4]Dominik Fischer, Sanaz Mostaghim, Larissa Albantakis:
How swarm size during evolution impacts the behavior, generalizability, and brain complexity of animats performing a spatial navigation task. CoRR abs/1804.08940 (2018) - [i3]Lukas Hoyer, Christoph Steup, Sanaz Mostaghim:
A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation. CoRR abs/1810.01665 (2018) - 2017
- [c55]Heiner Zille, Andre Kottenhahn, Sanaz Mostaghim:
Dynamic Distance Minimization Problems for dynamic multi-objective optimization. CEC 2017: 952-959 - [c54]Palina Bartashevich, Luigi Grimaldi, Sanaz Mostaghim:
PSO-based Search mechanism in dynamic environments: Swarms in Vector Fields. CEC 2017: 1263-1270 - [c53]Ruby L. V. Moritz, Heiner Zille, Sanaz Mostaghim:
Elitism and aggregation methods in partial redundant evolutionary swarms solving a multi-objective tasks. CEC 2017: 1467-1473 - [c52]Xenija Neufeld, Sanaz Mostaghim, Diego Perez Liebana:
HTN fighter: Planning in a highly-dynamic game. CEEC 2017: 189-194 - [c51]Julian Blank, Kalyanmoy Deb, Sanaz Mostaghim:
Solving the Bi-objective Traveling Thief Problem with Multi-objective Evolutionary Algorithms. EMO 2017: 46-60 - [c50]Ruby L. V. Moritz, Sanaz Mostaghim:
Heterogeneous Evolutionary Swarms with Partial Redundancy Solving Multi-objective Tasks. EMO 2017: 453-468 - [c49]Cristian Ramírez-Atencia, Sanaz Mostaghim, David Camacho:
A knee point based evolutionary multi-objective optimization for mission planning problems. GECCO 2017: 1216-1223 - [c48]Simon Anderer, Max Halbich, Bernd Scheuermann, Sanaz Mostaghim:
Towards Real-Time Fleet-Event-Handling for the Dynamic Vehicle Routing Problem. IJCCI 2017: 35-44 - [c47]Palina Bartashevich, Doreen Koerte, Sanaz Mostaghim:
Energy-saving decision making for aerial swarms: PSO-based navigation in vector fields. SSCI 2017: 1-8 - [c46]Heiner Zille, Sanaz Mostaghim:
Comparison study of large-scale optimisation techniques on the LSMOP benchmark functions. SSCI 2017: 1-8 - 2016
- [b2]Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher:
Computational Intelligence - A Methodological Introduction, Second Edition. Texts in Computer Science, Springer 2016, ISBN 978-1-4471-7294-9, pp. 1-551 - [j7]Heiko Hamann, Yara Khaluf, Jean Botev, Mohammad Divband Soorati, Eliseo Ferrante, Oliver Kosak, Jean-Marc Montanier, Sanaz Mostaghim, Richard Redpath, Jon Timmis, Frank Veenstra, Mostafa Wahby, Ales Zamuda:
Hybrid Societies: Challenges and Perspectives in the Design of Collective Behavior in Self-organizing Systems. Frontiers Robotics AI 3: 14 (2016) - [c45]Diego Perez Liebana, Sanaz Mostaghim, Simon M. Lucas:
Multi-objective tree search approaches for general video game playing. CEC 2016: 624-631 - [c44]Patrick Laack, Heiner Zille, Sanaz Mostaghim:
Multi-objective fitness-proportional attraction approach with weights. CEC 2016: 3316-3323 - [c43]Kei Harada, Misato Tanaka, Satoru Hiwa, Heiner Zille, Sanaz Mostaghim, Tomoyuki Hiroyasu:
Functional brain network extraction using a genetic algorithm with a kick-out method. CEC 2016: 4721-4727 - [c42]Ruby L. V. Moritz, Sanaz Mostaghim:
The Influence of Heredity Models on Adaptability in Evolutionary Swarms. GECCO 2016: 37-44 - [c41]Heiner Zille, Hisao Ishibuchi, Sanaz Mostaghim, Yusuke Nojima:
Weighted Optimization Framework for Large-scale Multi-objective Optimization. GECCO (Companion) 2016: 83-84 - [c40]Sanaz Mostaghim, Christoph Steup, Fabian Witt:
Energy Aware Particle Swarm Optimization as search mechanism for aerial micro-robots. SSCI 2016: 1-7 - [c39]Franz Pieper, Sanaz Mostaghim:
Influence of dynamic environments on agent strategies. SSCI 2016: 1-8 - [c38]Heiner Zille, Hisao Ishibuchi, Sanaz Mostaghim, Yusuke Nojima:
Mutation operators based on variable grouping for multi-objective large-scale optimization. SSCI 2016: 1-8 - 2015
- [j6]Seyedali Mirjalili, Andrew Lewis, Sanaz Mostaghim:
Confidence measure: A novel metric for robust meta-heuristic optimisation algorithms. Inf. Sci. 317: 114-142 (2015) - [j5]Diego Perez Liebana, Sanaz Mostaghim, Spyridon Samothrakis, Simon M. Lucas:
Multiobjective Monte Carlo Tree Search for Real-Time Games. IEEE Trans. Comput. Intell. AI Games 7(4): 347-360 (2015) - [c37]Heiner Zille, Sanaz Mostaghim:
Properties of scalable Distance Minimization Problems using the Manhattan metric. CEC 2015: 2875-2882 - [c36]Diego Perez Liebana, Jens Dieskau, Martin Hunermund, Sanaz Mostaghim, Simon M. Lucas:
Open Loop Search for General Video Game Playing. GECCO 2015: 337-344 - [c35]Heiner Zille, Sanaz Mostaghim:
Using ?-Dominance for Hidden and Degenerated Pareto-Fronts. SSCI 2015: 845-852 - 2014
- [j4]Sabrina Merkel, Sanaz Mostaghim, Hartmut Schmeck:
Hop count based distance estimation in mobile ad hoc networks - Challenges and consequences. Ad Hoc Networks 15: 39-52 (2014) - [c34]André Britto, Sanaz Mostaghim, Aurora Trinidad Ramirez Pozo:
Archive Based Multi-swarm Algorithm for Many-Objective Problems. BRACIS 2014: 79-84 - [c33]Robin C. Purshouse, Kalyanmoy Deb, Maszatul M. Mansor, Sanaz Mostaghim, Rui Wang:
A review of hybrid evolutionary multiple criteria decision making methods. IEEE Congress on Evolutionary Computation 2014: 1147-1154 - 2013
- [j3]Gianluigi Folino, Carlo Mastroianni, Sanaz Mostaghim:
Preface: nature inspired solutions for high performance computing. Nat. Comput. 12(1): 27-28 (2013) - [j2]Sabine Helwig, Jürgen Branke, Sanaz Mostaghim:
Experimental Analysis of Bound Handling Techniques in Particle Swarm Optimization. IEEE Trans. Evol. Comput. 17(2): 259-271 (2013) - [c32]André Britto, Sanaz Mostaghim, Aurora T. R. Pozo:
Iterated multi-swarm: a multi-swarm algorithm based on archiving methods. GECCO 2013: 583-590 - [c31]Sabrina Merkel, Sanaz Mostaghim, Daniel Blum, Hartmut Schmeck:
Distributed swarm evacuation planning. SIS 2013: 276-283 - 2012
- [c30]Sabrina Merkel, Sanaz Mostaghim, Hartmut Schmeck:
Distributed Geometric Distance Estimation in Ad Hoc Networks. ADHOC-NOW 2012: 28-41 - [c29]Aldeida Aleti, Irene Moser, Sanaz Mostaghim:
Adaptive Range Parameter Control. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c28]Juan Luis Jiménez Laredo, Pascal Bouvry, Sanaz Mostaghim, Juan Julián Merelo Guervós:
Validating a Peer-to-Peer Evolutionary Algorithm. EvoApplications 2012: 436-445 - [c27]Sabrina Merkel, Sanaz Mostaghim, Hartmut Schmeck:
A Study of Mobility in Ad Hoc Networks and Its Effects on a Hop Count Based Distance Estimation. NTMS 2012: 1-5 - 2011
- [c26]Sanaz Mostaghim, Friederike Pfeiffer, Hartmut Schmeck:
Self-organized invasive parallel optimization. BADS@ICAC 2011: 49-56 - [c25]Lukas König, Sanaz Mostaghim, Hartmut Schmeck:
A Markov-chain-based Model for Success Prediction of Evolution in Complex Environments. IJCCI (ECTA-FCTA) 2011: 90-102 - [p4]Sanaz Mostaghim, Hartmut Schmeck, Micaela Wünsche, Marcus Geimer, Timo Kautzmann:
Organic Computing in Off-highway Machines. Organic Computing 2011: 601-603 - [e1]Gianluigi Folino, Carlo Mastroianni, Sanaz Mostaghim, Junichi Suzuki:
Proceedings of the 3rd Workshop on Biologically Inspired Algorithms for Distributed Systems, BADS '11, Karlsruhe, Germany, June 14, 2011. ACM 2011, ISBN 978-1-4503-0733-8 [contents] - 2010
- [c24]Irene Moser, Sanaz Mostaghim:
The automotive deployment problem: A practical application for constrained multiobjective evolutionary optimisation. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c23]Micaela Wuensche, Sanaz Mostaghim, Hartmut Schmeck, Timo Kautzmann, Marcus Geimer:
Organic computing in off-highway machines. SOAR@ICAC 2010: 51-58 - [c22]Sanaz Mostaghim, Heike Trautmann, Olaf Mersmann:
Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities. PPSN (2) 2010: 101-110 - [p3]Markus Kress, Sanaz Mostaghim, Detlef Seese:
Intelligent Business Process Execution using Particle Swarm Optimization. Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery 2010: 49-66 - [p2]Sanaz Mostaghim:
Parallel Multi-objective Optimization Using Self-organized Heterogeneous Resources. Parallel and Distributed Computational Intelligence 2010: 165-179
2000 – 2009
- 2009
- [j1]Lukas König, Sanaz Mostaghim, Hartmut Schmeck:
Decentralized evolution of robotic behavior using finite state machines. Int. J. Intell. Comput. Cybern. 2(4): 695-723 (2009) - [c21]Sanaz Mostaghim, Hartmut Schmeck:
Self-organized Parallel Cooperation for Solving Optimization Problems. ARCS 2009: 135-145 - [c20]Lukas König, Sanaz Mostaghim, Hartmut Schmeck:
Online and onboard evolution of robotic behavior using finite state machines. AAMAS (2) 2009: 1325-1326 - [c19]Ian Scriven, Andrew Lewis, Sanaz Mostaghim:
Dynamic search initialisation strategies for multi-objective optimisation in peer-to-peer networks. IEEE Congress on Evolutionary Computation 2009: 1515-1522 - [c18]Nikhil Padhye, Jürgen Branke, Sanaz Mostaghim:
Empirical comparison of MOPSO methods - Guide selection and diversity preservation -. IEEE Congress on Evolutionary Computation 2009: 2516-2523 - [i2]Jörg Fliege, Nicola Beume, Jürgen Branke, Heinrich Braun, Nirupam Chakraborti, Kalyanmoy Deb, Sabine Helwig, Joshua D. Knowles, Martin Middendorf, Sanaz Mostaghim, Silvia Poles, Daniel E. Salazar Aponte, Shukla Pradymn, El-Ghazali Talbi:
09041 Working Group on EMO for Robust Multiobjective Optimization (1st Round). Hybrid and Robust Approaches to Multiobjective Optimization 2009 - 2008
- [c17]Peter Bungert, Sanaz Mostaghim, Hartmut Schmeck, Jürgen Branke:
Design of Gate Array Circuits Using Evolutionary Algorithms. ARCS 2008: 38-50 - [c16]Sanaz Mostaghim, Jürgen Branke, Andrew Lewis, Hartmut Schmeck:
Parallel multi-objective optimization using Master-Slave model on heterogeneous resources. IEEE Congress on Evolutionary Computation 2008: 1981-1987 - [c15]Ian Scriven, David Ireland, Andrew Lewis, Sanaz Mostaghim, Jürgen Branke:
Asynchronous multiple objective particle swarm optimisation in unreliable distributed environments. IEEE Congress on Evolutionary Computation 2008: 2481-2486 - [c14]El-Ghazali Talbi, Sanaz Mostaghim, Tatsuya Okabe, Hisao Ishibuchi, Günter Rudolph, Carlos A. Coello Coello:
Parallel Approaches for Multiobjective Optimization. Multiobjective Optimization 2008: 349-372 - [c13]Sanaz Mostaghim, Hartmut Schmeck:
Distance Based Ranking in Many-Objective Particle Swarm Optimization. PPSN 2008: 753-762 - 2007
- [c12]Andy Pryke, Sanaz Mostaghim, Alireza Nazemi:
Heatmap Visualization of Population Based Multi Objective Algorithms. EMO 2007: 361-375 - [c11]Sanaz Mostaghim, Jürgen Branke, Hartmut Schmeck:
Multi-objective particle swarm optimization on computer grids. GECCO 2007: 869-875 - 2006
- [c10]Werner Halter, Sanaz Mostaghim:
Bilevel Optimization of Multi-Component Chemical Systems Using Particle Swarm Optimization. IEEE Congress on Evolutionary Computation 2006: 1240-1247 - [c9]David Ireland, Andrew Lewis, Sanaz Mostaghim, Junwei Lu:
Hybrid Particle Guide Selection Methods in Multi-Objective Particle Swarm Optimization. e-Science 2006: 116 - [c8]Jürgen Branke, Sanaz Mostaghim:
About Selecting the Personal Best in Multi-Objective Particle Swarm Optimization. PPSN 2006: 523-532 - 2005
- [p1]Sanaz Mostaghim, Jürgen Teich:
Quad-trees: A Data Structure for Storing Pareto Sets in Multiobjective Evolutionary Algorithms with Elitism. Evolutionary Multiobjective Optimization 2005: 81-104 - [i1]Sanaz Mostaghim, Jürgen Teich:
A New Approach on Many Objective Diversity Measurement. Practical Approaches to Multi-Objective Optimization 2005 - 2004
- [b1]Sanaz Mostaghim:
Multi-objective evolutionary algorithms: data structures, convergence, and diversity. University of Paderborn, Germany, Shaker 2004, ISBN 3-8322-3661-9, pp. 1-185 - [c7]Sanaz Mostaghim, Michael Hoffmann, Peter H. Konig, Thomas Frauenheim, Jürgen Teich:
Molecular force field parametrization using multi-objective evolutionary algorithms. IEEE Congress on Evolutionary Computation 2004: 212-219 - [c6]Sanaz Mostaghim, Jürgen Teich:
Covering Pareto-optimal fronts by subswarms in multi-objective particle swarm optimization. IEEE Congress on Evolutionary Computation 2004: 1404-1411 - [d1]Sanaz Mostaghim:
Multi-Objective Particle Swarm Optimization. Zenodo, 2004 - 2003
- [c5]Sanaz Mostaghim, Jürgen Teich:
The role of ε-dominance in multi objective particle swarm optimization methods. IEEE Congress on Evolutionary Computation 2003: 1764-1771 - [c4]Oliver Schütze, Sanaz Mostaghim, Michael Dellnitz, Jürgen Teich:
Covering Pareto Sets by Multilevel Evolutionary Subdivision Techniques. EMO 2003: 118-132 - [c3]Christian Haubelt, Sanaz Mostaghim, Jürgen Teich, Ambrish Tyagi:
Solving Hierarchical Optimization Problems Using MOEAs. EMO 2003: 162-176 - [c2]Sanaz Mostaghim, Jürgen Teich:
Strategies for finding good local guides in multi-objective particle swarm optimization (MOPSO). SIS 2003: 26-33 - 2002
- [c1]Sanaz Mostaghim, Jürgen Teich, Ambrish Tyagi:
Comparison of data structures for storing Pareto-sets in MOEAs. IEEE Congress on Evolutionary Computation 2002: 843-848
Coauthor Index
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