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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
- 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)- [c150]Sebastian Mai
, Sanaz Mostaghim:
Decentralized Conflict Resolution for Navigation in Swarm Robotics. ANTS 2024: 215-223 - [c149]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 - [c148]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 - [c147]Tomoya Hömberg, Sanaz Mostaghim, Satoru Hiwa, Tomoyuki Hiroyasu:
Optimized Drug Design using Multi-Objective Evolutionary Algorithms with SELFIES. CEC 2024: 1-8 - [c146]Saiful Islam, Sanaz Mostaghim, Michael Hartmann:
A Survey on Multi-Objective Optimization in Microgrid Systems. CEC 2024: 1-8 - [c145]Markus Rothkötter, Niklas Kluge, Sanaz Mostaghim:
Application of a Bi-Objective EA for RAN Resources Optimization in a Dynamic Scenario. CEC 2024: 1-8 - [c144]Carlo Nübel, Alexander Dockhorn, Sanaz Mostaghim:
Match Point AI: A Novel AI Framework for Evaluating Data-Driven Tennis Strategies. CoG 2024: 1-4 - [c143]Simon Anderer, Bernd Scheuermann, Sanaz Mostaghim:
Studies on Multi-objective Role Mining in ERP Systems. EvoStar 2024: 81-96 - [c142]Jens Weise, Sanaz Mostaghim:
Finding Sets of Solutions for Temporal Uncertain Problems. EvoApplications@EvoStar 2024: 209-223 - [c141]Simon Anderer, Nicolas Justen, Bernd Scheuermann, Sanaz Mostaghim:
Survival Strategies for Evolutionary Role Mining Algorithms Using Expert Knowledge. GECCO Companion 2024: 623-626 - [c140]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 - [c139]Julia Reuter, Viktor Martinek, Roland Herzog, Sanaz Mostaghim:
Unit-Aware Genetic Programming for the Development of Empirical Equations. PPSN (1) 2024: 168-183 - [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) - [c138]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 - [c137]Julia Heise, Sanaz Mostaghim:
Online Learning Hyper-Heuristics in Multi-Objective Evolutionary Algorithms. EMO 2023: 162-175 - [c136]Sebastian Mai, Tobias Benecke, Sanaz Mostaghim:
MACO: A Real-World Inspired Benchmark for Multi-objective Evolutionary Algorithms. EMO 2023: 305-318 - [c135]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 - [c134]Julia Heise, Jens Weise, Sanaz Mostaghim:
Towards Benchmarking of Pathfinding Algorithms in Path-Influenced Environments. GECCO Companion 2023: 69-70 - [c133]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 - [c132]Markus Rothkötter, Sanaz Mostaghim:
A Preference-based Activity Scheduling Algorithm Using Many-objective Optimization. GECCO Companion 2023: 407-410 - [c131]Lukas Bostelmann-Arp, Christoph Steup, Sanaz Mostaghim:
Multi-Objective Seed Curve Optimization for Coverage Path Planning in Precision Farming. GECCO 2023: 1312-1320 - [c130]Boris Djartov, Sanaz Mostaghim:
Multi-objective Multiplexer Decision Making Benchmark Problem. GECCO Companion 2023: 1676-1683 - [c129]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 - [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 - [d2]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 - [d1]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]