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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
- 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) - [c134]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 - [c133]Julia Heise, Sanaz Mostaghim:
Online Learning Hyper-Heuristics in Multi-Objective Evolutionary Algorithms. EMO 2023: 162-175 - [c132]Sebastian Mai, Tobias Benecke, Sanaz Mostaghim:
MACO: A Real-World Inspired Benchmark for Multi-objective Evolutionary Algorithms. EMO 2023: 305-318 - [c131]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 - [c130]Julia Heise, Jens Weise, Sanaz Mostaghim:
Towards Benchmarking of Pathfinding Algorithms in Path-Influenced Environments. GECCO Companion 2023: 69-70 - [c129]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 - [c128]Markus Rothkötter, Sanaz Mostaghim:
A Preference-based Activity Scheduling Algorithm Using Many-objective Optimization. GECCO Companion 2023: 407-410 - [c127]Lukas Bostelmann-Arp, Christoph Steup, Sanaz Mostaghim:
Multi-Objective Seed Curve Optimization for Coverage Path Planning in Precision Farming. GECCO 2023: 1312-1320 - [c126]Boris Djartov, Sanaz Mostaghim:
Multi-objective Multiplexer Decision Making Benchmark Problem. GECCO Companion 2023: 1676-1683 - [c125]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 - [c124]Oliver Antons, Tobias Benecke, Sanaz Mostaghim, Julia C. Arlinghaus:
Sustainability in Chemical Production - Multi-Objective Distributed Control. SoMeT 2023: 211-219 - 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]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]