Comparison of data structures for storing Pareto-sets in MOEAs. - Sanaz Mostaghim; Jürgen Teich; Ambrish Tyagi (IEEE Congress on Evolutionary Computation, 2002)

The role of ε-dominance in multi objective particle swarm optimization methods. - Sanaz Mostaghim; Jürgen Teich (IEEE Congress on Evolutionary Computation, 2003)

Solving Hierarchical Optimization Problems Using MOEAs. - Christian Haubelt; Sanaz Mostaghim; Jürgen Teich; Ambrish Tyagi (EMO, 2003)

Covering Pareto Sets by Multilevel Evolutionary Subdivision Techniques. - Oliver Schütze 001; Sanaz Mostaghim; Michael Dellnitz; Jürgen Teich (EMO, 2003)

Strategies for finding good local guides in multi-objective particle swarm optimization (MOPSO). - Sanaz Mostaghim; Jürgen Teich (SIS, 2003)

Molecular force field parametrization using multi-objective evolutionary algorithms. - Sanaz Mostaghim; Michael Hoffmann 006; Peter H. Konig; Thomas Frauenheim; Jürgen Teich (IEEE Congress on Evolutionary Computation, 2004)

Covering Pareto-optimal fronts by subswarms in multi-objective particle swarm optimization. - Sanaz Mostaghim; Jürgen Teich (IEEE Congress on Evolutionary Computation, 2004)

Multi-Objective Particle Swarm Optimization. - Sanaz Mostaghim (Zenodo, 2004)

Multi-objective evolutionary algorithms: data structures, convergence, and diversity. - Sanaz Mostaghim (Shaker, 2004)

Quad-trees: A Data Structure for Storing Pareto Sets in Multiobjective Evolutionary Algorithms with Elitism. - Sanaz Mostaghim; Jürgen Teich (Evolutionary Multiobjective Optimization, 2005)

A New Approach on Many Objective Diversity Measurement. - Sanaz Mostaghim; Jürgen Teich (Practical Approaches to Multi-Objective Optimization, 2005)

Bilevel Optimization of Multi-Component Chemical Systems Using Particle Swarm Optimization. - Werner Halter; Sanaz Mostaghim (IEEE Congress on Evolutionary Computation, 2006)

Hybrid Particle Guide Selection Methods in Multi-Objective Particle Swarm Optimization. - David Ireland; Andrew Lewis; Sanaz Mostaghim; Junwei Lu (e-Science, 2006)

About Selecting the Personal Best in Multi-Objective Particle Swarm Optimization. - Jürgen Branke; Sanaz Mostaghim (PPSN, 2006)

Heatmap Visualization of Population Based Multi Objective Algorithms. - Andy Pryke; Sanaz Mostaghim; Alireza Nazemi (EMO, 2007)

Multi-objective particle swarm optimization on computer grids. - Sanaz Mostaghim; Jürgen Branke; Hartmut Schmeck (GECCO, 2007)

Design of Gate Array Circuits Using Evolutionary Algorithms. - Peter Bungert; Sanaz Mostaghim; Hartmut Schmeck; Jürgen Branke (ARCS, 2008)

Parallel multi-objective optimization using Master-Slave model on heterogeneous resources. - Sanaz Mostaghim; Jürgen Branke; Andrew Lewis; Hartmut Schmeck (IEEE Congress on Evolutionary Computation, 2008)

Asynchronous multiple objective particle swarm optimisation in unreliable distributed environments. - Ian Scriven; David Ireland; Andrew Lewis; Sanaz Mostaghim; Jürgen Branke (IEEE Congress on Evolutionary Computation, 2008)

Parallel Approaches for Multiobjective Optimization. - El-Ghazali Talbi; Sanaz Mostaghim; Tatsuya Okabe; Hisao Ishibuchi; Günter Rudolph; Carlos A. Coello Coello (Multiobjective Optimization, 2008)

Distance Based Ranking in Many-Objective Particle Swarm Optimization. - Sanaz Mostaghim; Hartmut Schmeck (PPSN, 2008)

Self-organized Parallel Cooperation for Solving Optimization Problems. - Sanaz Mostaghim; Hartmut Schmeck (ARCS, 2009)

Online and onboard evolution of robotic behavior using finite state machines. - Lukas König; Sanaz Mostaghim; Hartmut Schmeck (AAMAS (2), 2009)

Empirical comparison of MOPSO methods - Guide selection and diversity preservation -. - Nikhil Padhye; Jürgen Branke; Sanaz Mostaghim (IEEE Congress on Evolutionary Computation, 2009)

Dynamic search initialisation strategies for multi-objective optimisation in peer-to-peer networks. - Ian Scriven; Andrew Lewis; Sanaz Mostaghim (IEEE Congress on Evolutionary Computation, 2009)

09041 Working Group on EMO for Robust Multiobjective Optimization (1st Round). - 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; et al. (Hybrid and Robust Approaches to Multiobjective Optimization, 2009)

Decentralized evolution of robotic behavior using finite state machines. - Lukas König; Sanaz Mostaghim; Hartmut Schmeck (Int. J. Intell. Comput. Cybern., 2009)

Intelligent Business Process Execution using Particle Swarm Optimization. - Markus Kress; Sanaz Mostaghim; Detlef Seese (Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery, 2010)

The automotive deployment problem: A practical application for constrained multiobjective evolutionary optimisation. - Irene Moser; Sanaz Mostaghim (IEEE Congress on Evolutionary Computation, 2010)

Organic computing in off-highway machines. - Micaela Wuensche; Sanaz Mostaghim; Hartmut Schmeck; Timo Kautzmann; Marcus Geimer (SOAR@ICAC, 2010)

Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities. - Sanaz Mostaghim; Heike Trautmann; Olaf Mersmann (PPSN (2), 2010)

Parallel Multi-objective Optimization Using Self-organized Heterogeneous Resources. - Sanaz Mostaghim (Parallel and Distributed Computational Intelligence, 2010)

Organic Computing in Off-highway Machines. - Sanaz Mostaghim; Hartmut Schmeck; Micaela Wünsche; Marcus Geimer; Timo Kautzmann (Organic Computing, 2011)

Self-organized invasive parallel optimization. - Sanaz Mostaghim; Friederike Pfeiffer; Hartmut Schmeck (BADS@ICAC, 2011)

A Markov-chain-based Model for Success Prediction of Evolution in Complex Environments. - Lukas König; Sanaz Mostaghim; Hartmut Schmeck (IJCCI (ECTA-FCTA), 2011)

Distributed Geometric Distance Estimation in Ad Hoc Networks. - Sabrina Merkel; Sanaz Mostaghim; Hartmut Schmeck (ADHOC-NOW, 2012)

Adaptive Range Parameter Control. - Aldeida Aleti; Irene Moser; Sanaz Mostaghim (IEEE Congress on Evolutionary Computation, 2012)

Validating a Peer-to-Peer Evolutionary Algorithm. - Juan Luis Jiménez Laredo; Pascal Bouvry; Sanaz Mostaghim; Juan Julián Merelo Guervós (EvoApplications, 2012)

A Study of Mobility in Ad Hoc Networks and Its Effects on a Hop Count Based Distance Estimation. - Sabrina Merkel; Sanaz Mostaghim; Hartmut Schmeck (NTMS, 2012)

Iterated multi-swarm: a multi-swarm algorithm based on archiving methods. - André Britto; Sanaz Mostaghim; Aurora T. R. Pozo (GECCO, 2013)

Distributed swarm evacuation planning. - Sabrina Merkel; Sanaz Mostaghim; Daniel Blum; Hartmut Schmeck (SIS, 2013)

Preface: nature inspired solutions for high performance computing. - Gianluigi Folino; Carlo Mastroianni; Sanaz Mostaghim (Nat. Comput., 2013)

Experimental Analysis of Bound Handling Techniques in Particle Swarm Optimization. - Sabine Helwig; Jürgen Branke; Sanaz Mostaghim (IEEE Trans. Evol. Comput., 2013)

Archive Based Multi-swarm Algorithm for Many-Objective Problems. - André Britto; Sanaz Mostaghim; Aurora Trinidad Ramirez Pozo (BRACIS, 2014)

A review of hybrid evolutionary multiple criteria decision making methods. - Robin C. Purshouse; Kalyanmoy Deb; Maszatul M. Mansor; Sanaz Mostaghim; Rui Wang 017 (IEEE Congress on Evolutionary Computation, 2014)

Hop count based distance estimation in mobile ad hoc networks - Challenges and consequences. - Sabrina Merkel; Sanaz Mostaghim; Hartmut Schmeck (Ad Hoc Networks, 2014)

Properties of scalable Distance Minimization Problems using the Manhattan metric. - Heiner Zille; Sanaz Mostaghim (CEC, 2015)

Open Loop Search for General Video Game Playing. - Diego Perez Liebana; Jens Dieskau; Martin Hunermund; Sanaz Mostaghim; Simon M. Lucas (GECCO, 2015)

Using ?-Dominance for Hidden and Degenerated Pareto-Fronts. - Heiner Zille; Sanaz Mostaghim (SSCI, 2015)

Confidence measure: A novel metric for robust meta-heuristic optimisation algorithms. - Seyedali Mirjalili; Andrew Lewis; Sanaz Mostaghim (Inf. Sci., 2015)

Multiobjective Monte Carlo Tree Search for Real-Time Games. - Diego Perez Liebana; Sanaz Mostaghim; Spyridon Samothrakis; Simon M. Lucas (IEEE Trans. Comput. Intell. AI Games, 2015)

Functional brain network extraction using a genetic algorithm with a kick-out method. - Kei Harada; Misato Tanaka; Satoru Hiwa; Heiner Zille; Sanaz Mostaghim; Tomoyuki Hiroyasu (CEC, 2016)

Multi-objective fitness-proportional attraction approach with weights. - Patrick Laack; Heiner Zille; Sanaz Mostaghim (CEC, 2016)

Multi-objective tree search approaches for general video game playing. - Diego Perez Liebana; Sanaz Mostaghim; Simon M. Lucas (CEC, 2016)

The Influence of Heredity Models on Adaptability in Evolutionary Swarms. - Ruby L. V. Moritz; Sanaz Mostaghim (GECCO, 2016)

Weighted Optimization Framework for Large-scale Multi-objective Optimization. - Heiner Zille; Hisao Ishibuchi; Sanaz Mostaghim; Yusuke Nojima (GECCO (Companion), 2016)

Energy Aware Particle Swarm Optimization as search mechanism for aerial micro-robots. - Sanaz Mostaghim; Christoph Steup; Fabian Witt (SSCI, 2016)

Influence of dynamic environments on agent strategies. - Franz Pieper; Sanaz Mostaghim (SSCI, 2016)

Mutation operators based on variable grouping for multi-objective large-scale optimization. - Heiner Zille; Hisao Ishibuchi; Sanaz Mostaghim; Yusuke Nojima (SSCI, 2016)

Hybrid Societies: Challenges and Perspectives in the Design of Collective Behavior in Self-organizing Systems. - 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; et al. (Frontiers Robotics AI, 2016)

Computational Intelligence - A Methodological Introduction, Second Edition - Rudolf Kruse; Christian Borgelt; Christian Braune; Sanaz Mostaghim; Matthias Steinbrecher (Springer, 2016)

PSO-based Search mechanism in dynamic environments: Swarms in Vector Fields. - Palina Bartashevich; Luigi Grimaldi; Sanaz Mostaghim (CEC, 2017)

Elitism and aggregation methods in partial redundant evolutionary swarms solving a multi-objective tasks. - Ruby L. V. Moritz; Heiner Zille; Sanaz Mostaghim (CEC, 2017)

Dynamic Distance Minimization Problems for dynamic multi-objective optimization. - Heiner Zille; Andre Kottenhahn; Sanaz Mostaghim (CEC, 2017)

HTN fighter: Planning in a highly-dynamic game. - Xenija Neufeld; Sanaz Mostaghim; Diego Perez Liebana (CEEC, 2017)

Solving the Bi-objective Traveling Thief Problem with Multi-objective Evolutionary Algorithms. - Julian Blank; Kalyanmoy Deb; Sanaz Mostaghim (EMO, 2017)

Heterogeneous Evolutionary Swarms with Partial Redundancy Solving Multi-objective Tasks. - Ruby L. V. Moritz; Sanaz Mostaghim (EMO, 2017)

A knee point based evolutionary multi-objective optimization for mission planning problems. - Cristian Ramírez-Atencia; Sanaz Mostaghim; David Camacho (GECCO, 2017)

Towards Real-Time Fleet-Event-Handling for the Dynamic Vehicle Routing Problem. - Simon Anderer; Max Halbich; Bernd Scheuermann; Sanaz Mostaghim (IJCCI, 2017)

Energy-saving decision making for aerial swarms: PSO-based navigation in vector fields. - Palina Bartashevich; Doreen Koerte; Sanaz Mostaghim (SSCI, 2017)

Comparison study of large-scale optimisation techniques on the LSMOP benchmark functions. - Heiner Zille; Sanaz Mostaghim (SSCI, 2017)

A Hybrid Approach to Planning and Execution in Dynamic Environments Through Hierarchical Task Networks and Behavior Trees. - Xenija Neufeld; Sanaz Mostaghim; Sandy Brand (AIIDE, 2018)

Vector Field Benchmark for Collective Search in Unknown Dynamic Environments. - Palina Bartashevich; Welf Knors; Sanaz Mostaghim (ANTS Conference, 2018)

Investigation of a Simple Distance Based Ranking Metric for Decomposition-Based Multi/Many-Objective Evolutionary Algorithms. - Hemant Kumar Singh; Kalyan Shankar Bhattacharjee; Tapabrata Ray; Sanaz Mostaghim (Australasian Conference on Artificial Intelligence, 2018)

Towards a General Framework for Artistic Style Transfer. - Florian Uhde; Sanaz Mostaghim (EvoMUSART, 2018)

Evolving PSO algorithm design in vector fields using geometric semantic GP. - Palina Bartashevich; Illya Bakurov; Sanaz Mostaghim; Leonardo Vanneschi (GECCO (Companion), 2018)

How swarm size during evolution impacts the behavior, generalizability, and brain complexity of animats performing a spatial navigation task. - Dominik Fischer; Sanaz Mostaghim; Larissa Albantakis (GECCO, 2018)

Transfer strategies from single- to multi-objective grouping mechanisms. - Frederick Sander; Heiner Zille; Sanaz Mostaghim (GECCO, 2018)

Meta Heuristics for Dynamic Machine Scheduling: A Review of Research Efforts and Industrial Requirements. - Simon Anderer; Thanh-Ha Vu; Bernd Scheuermann; Sanaz Mostaghim (IJCCI, 2018)

PSO-Based Search Rules for Aerial Swarms Against Unexplored Vector Fields via Genetic Programming. - Palina Bartashevich; Illya Bakurov; Sanaz Mostaghim; Leonardo Vanneschi (PPSN (1), 2018)

Understanding Collective Decision-Making in Natural Swarms. - Asema Hassan; Sanaz Mostaghim (SSCI, 2018)

A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation. - Lukas Hoyer; Christoph Steup; Sanaz Mostaghim (SSCI, 2018)

Simultaneous Localisation and Optimisation for Swarm Robotics. - Sebastian Mai; Christoph Steup; Sanaz Mostaghim (SSCI, 2018)

A Survey on Graph-based Systems in Manufacturing Processes. - Jens Weise; Steven Benkhardt; Sanaz Mostaghim (SSCI, 2018)

Multi-objective distance minimization problems - applications in technical systems. - Sanaz Mostaghim; Christoph Steup; Heiner Zille (Autom., 2018)

A Framework for Large-Scale Multiobjective Optimization Based on Problem Transformation. - Heiner Zille; Hisao Ishibuchi; Sanaz Mostaghim; Yusuke Nojima (IEEE Trans. Evol. Comput., 2018)

A Local Approach to Forward Model Learning: Results on the Game of Life Game. - Simon M. Lucas; Alexander Dockhorn; Vanessa Volz; Chris Bamford 001; Raluca D. Gaina; Ivan Bravi; Diego Pérez-Liébana; Sanaz Mostaghim; Rudolf Kruse (CoG, 2019)

Evolving Game State Evaluation Functions for a Hybrid Planning Approach. - Xenija Neufeld; Sanaz Mostaghim; Diego Perez Liebana (CoG, 2019)

Linear Search Mechanism for Multi- and Many-Objective Optimisation. - Heiner Zille; Sanaz Mostaghim (EMO, 2019)

Benchmarking Collective Perception: New Task Difficulty Metrics for Collective Decision-Making. - Palina Bartashevich; Sanaz Mostaghim (EPIA (1), 2019)

Ising Model as a Switch Voting Mechanism in Collective Perception. - Palina Bartashevich; Sanaz Mostaghim (EPIA (2), 2019)

Online Optimization of Movement Cost for Robotic Applications of PSO. - Sebastian Mai; Heiner Zille; Christoph Steup; Sanaz Mostaghim (EPIA (2), 2019)

Positive impact of isomorphic changes in the environment on collective decision-making. - Palina Bartashevich; Sanaz Mostaghim (GECCO (Companion), 2019)

Performance of dynamic algorithms on the dynamic distance minimization problem. - Mardé Helbig; Heiner Zille; Mahrokh Javadi; Sanaz Mostaghim (GECCO (Companion), 2019)

Modified crowding distance and mutation for multimodal multi-objective optimization. - Mahrokh Javadi; Heiner Zille; Sanaz Mostaghim (GECCO (Companion), 2019)

Multi-objective collective search and movement-based metrics in swarm robotics. - Sebastian Mai; Heiner Zille; Christoph Steup; Sanaz Mostaghim (GECCO (Companion), 2019)

Graph-based multi-objective generation of customised wiring harnesses. - Jens Weise; Steven Benkhardt; Sanaz Mostaghim (GECCO (Companion), 2019)

Introducing the Hearthstone-AI Competition. - Alexander Dockhorn; Sanaz Mostaghim (CoRR, 2019)

Building a Planner: A Survey of Planning Systems Used in Commercial Video Games. - Xenija Neufeld; Sanaz Mostaghim; Dario L. Sancho-Pradel; Sandy Brand (IEEE Trans. Games, 2019)

Modeling Pathfinding for Swarm Robotics. - Sebastian Mai; Sanaz Mostaghim (ANTS Conference, 2020)

Collective Decision Making in Swarm Robotics with Distributed Bayesian Hypothesis Testing. - Qihao Shan; Sanaz Mostaghim (ANTS Conference, 2020)

A Novel Grid-based Crowding Distance for Multimodal Multi-objective Optimization. - Mahrokh Javadi; Cristian Ramírez-Atencia; Sanaz Mostaghim (CEC, 2020)

T-EA: A Traceable Evolutionary Algorithm. - Cristian Ramírez-Atencia; Tobias Benecke; Sanaz Mostaghim (CEC, 2020)

On the Scalable Multi-Objective Multi-Agent Pathfinding Problem. - Jens Weise; Sebastian Mai; Heiner Zille; Sanaz Mostaghim (CEC, 2020)

Machine Learning for evaluating Kaizens in Volkswagen Production System - An Industrial Case study. - Akshay Thakur; Robert Beck; Sanaz Mostaghim; Daniel Großmann (DSAA, 2020)

Survey into predictive key performance indicator analysis from data mining perspective. - Akshay Thakur; Robert Beck; Sanaz Mostaghim; Daniel Großmann (ETFA, 2020)

A many-objective route planning benchmark problem for navigation. - Jens Weise; Sanaz Mostaghim (GECCO Companion, 2020)

Enhancing Resilience in IoT Networks using Organic Computing. - Dominik Weikert; Christoph Steup; Sanaz Mostaghim (GI-Jahrestagung, 2020)

The addRole-EA: A New Evolutionary Algorithm for the Role Mining Problem. - Simon Anderer; Daniel Kreppein; Bernd Scheuermann; Sanaz Mostaghim (IJCCI, 2020)

Collective and Individual Decision-Making in Swarm Robotics. - Sanaz Mostaghim (ROBOVIS, 2020)

Impact of Communication Topology on PSO-based Swarms in Vector Fields. - Palina Bartashevich; Doreen Koerte; Sanaz Mostaghim (SSCI, 2020)

Multi-Objective Task Allocation for Wireless Sensor Networks. - Dominik Weikert; Christoph Steup; Sanaz Mostaghim (SSCI, 2020)

Ant Colony Optimization based Multi-Robot Planner for Combined Task Allocation and Path Finding. - Agha Ali Haider Qizilbash; Christian Henkel; Sanaz Mostaghim (UR, 2020)

sKPNSGA-II: Knee point based MOEA with self-adaptive angle for Mission Planning Problems. - Cristian Ramírez-Atencia; Sanaz Mostaghim; David Camacho (CoRR, 2020)

Particle Swarm Contour Search Algorithm. - Dominik Weikert; Sebastian Mai; Sanaz Mostaghim (Entropy, 2020)

Scalable Many-Objective Pathfinding Benchmark Suite Pareto-fronts and Sets. - Jens Weise; Sanaz Mostaghim (IEEE DataPort, 2020)

Tracking the Heritage of Genes in Evolutionary Algorithms. - Tobias Benecke; Sanaz Mostaghim (CEC, 2021)

Optimal Control Policies to Address the Pandemic Health-Economy Dilemma. - Rohit Salgotra; Amiram Moshaiov; Thomas Seidelmann; Dominik Fischer; Sanaz Mostaghim (CEC, 2021)

Multi-Objective Optimization and Decision-Making in Context Steering. - Alexander Dockhorn; Sanaz Mostaghim; Martin Kirst; Martin Zettwitz (CoG, 2021)

Using Neighborhood-Based Density Measures for Multimodal Multi-objective Optimization. - Mahrokh Javadi; Sanaz Mostaghim (EMO, 2021)

Many-Objective Pathfinding Based on Fréchet Similarity Metric. - Jens Weise; Sanaz Mostaghim (EMO, 2021)

Dissecting Neural Networks Filter Responses for Artistic Style Transfer. - Florian Uhde; Sanaz Mostaghim (EvoMUSART, 2021)

Unit-aware multi-objective genetic programming for the prediction of the stokes flow around a sphere. - Heiner Zille; Sanaz Mostaghim; Fabien Evrard; Berend G. M. van Wachem (GECCO Companion, 2021)

The Dynamic Role Mining Problem: Role Mining in Dynamically Changing Business Environments. - Simon Anderer; Tobias Kempter; Bernd Scheuermann; Sanaz Mostaghim (IJCCI, 2021)

RMPlib: A Library of Benchmarks for the Role Mining Problem. - Simon Anderer; Bernd Scheuermann; Sanaz Mostaghim; Patrick Bauerle; Matthias Beil (SACMAT, 2021)

The Impact of Population Size on the Convergence of Multi-objective Evolutionary Algorithms. - Tobias Benecke; Sanaz Mostaghim (SSCI, 2021)

A Multi-objective Multimodal Evolutionary Algorithm Using a Novel Tournament and Environmental Selections. - Mahrokh Javadi; Sanaz Mostaghim (SSCI, 2021)

Meeting Demands for Mass Customization: A Hybrid Organic Computing Approach. - Thomas Seidelmann; Jens Weise; Sanaz Mostaghim (SSCI, 2021)

Discrete Collective Estimation in Swarm Robotics with Ranked Voting Systems. - Qihao Shan; Alexander Heck; Sanaz Mostaghim (SSCI, 2021)

Mobility-Aware Multi-Objective Task Allocation for Wireless Sensor Networks. - Dominik Weikert; Christoph Steup; David Atienza; Sanaz Mostaghim (SSCI, 2021)

A Customized Niching Methodology for the Many-Objective Pathfinding Problem. - Jens Weise; Sanaz Mostaghim (SSCI, 2021)

A Comparative Study of Different Encodings on the Multi-Objective Pathfinding Problem. - Jens Weise; Heiner Zille; Sanaz Mostaghim (SSCI, 2021)

IEEE CIS VP-Member Activities Vision Statement [Society Briefs]. - Sanaz Mostaghim (IEEE Comput. Intell. Mag., 2021)

MOSAIK: A Formal Model for Self-Organizing Manufacturing Systems. - Victor Charpenay; Daniel Schraudner; Thomas Seidelmann; Torsten Spieldenner; Jens Weise; René Schubotz; Sanaz Mostaghim; Andreas Harth (IEEE Pervasive Comput., 2021)

Multi-featured collective perception with Evidence Theory: tackling spatial correlations. - Palina Bartashevich; Sanaz Mostaghim (Swarm Intell., 2021)

Achieving task allocation in swarm intelligence with bi-objective embodied evolution. - Qihao Shan; Sanaz Mostaghim (Swarm Intell., 2021)

Discrete collective estimation in swarm robotics with distributed Bayesian belief sharing. - Qihao Shan; Sanaz Mostaghim (Swarm Intell., 2021)

Collective Decision-Making for Conflict Resolution in Multi-Agent Pathfinding. - Sebastian Mai; Sanaz Mostaghim (ANTS Conference, 2022)

Benchmarking Performances of Collective Decision-Making Strategies with Respect to Communication Bandwidths in Discrete Collective Estimation. - Qihao Shan; Sanaz Mostaghim (ANTS Conference, 2022)

Multi-Objective Roadmap Optimization for Multiagent Navigation. - Sebastian Mai; Maximilian Deubel; Sanaz Mostaghim (CEC, 2022)

Towards Improving Simulations of Flows around Spherical Particles Using Genetic Programming. - Julia Reuter; Manoj Cendrollu; Fabien Evrard; Sanaz Mostaghim; Berend G. M. van Wachem (CEC, 2022)

Finding Cost-Effective Re-Layouting Solutions in Modern Brownfield Facility Layout Planning. - Thomas Seidelmann; Sanaz Mostaghim (CEC, 2022)

Multi-Objective Task Allocation for Dynamic IoT Networks. - Dominik Weikert; Christoph Steup; Sanaz Mostaghim (COINS, 2022)

Genetic Programming-Based Inverse Kinematics for Robotic Manipulators. - Julia Reuter; Christoph Steup; Sanaz Mostaghim (EuroGP, 2022)

Evolutionary Algorithms for the Constrained Two-Level Role Mining Problem. - Simon Anderer; Falk Schrader; Bernd Scheuermann; Sanaz Mostaghim (EvoCOP, 2022)

Estimating the quality of initial populations in multi-objective evolutionary algorithms. - Tobias Benecke; Sanaz Mostaghim (GECCO Companion, 2022)

Surrogate models for IoT task allocation optimization. - Dominik Weikert; Christoph Steup; Sanaz Mostaghim (GECCO Companion, 2022)

Driving Swarm: A Swarm Robotics Framework for Intelligent Navigation in a Self-organized World. - Sebastian Mai; Nele Traichel; Sanaz Mostaghim (ICRA, 2022)

On using Authorization Traces to Support Role Mining with Evolutionary Algorithms. - Simon Anderer; Alpay Sahin; Bernd Scheuermann; Sanaz Mostaghim (IJCCI, 2022)

Description and First Evaluation of an Approach for a Pilot Decision Support System Based on Multi-attribute Decision Making. - Boris Djartov; Sanaz Mostaghim; Anne Papenfuß; Matthias Wies (SSCI, 2022)

Exploring Dynamic Pandemic Containment Strategies Using Multi-Objective Optimization [Research Frontier]. - Dominik Fischer; Sanaz Mostaghim; Thomas Seidelmann (IEEE Comput. Intell. Mag., 2022)

Availability-Aware Multiobjective Task Allocation Algorithm for Internet of Things Networks. - Dominik Weikert; Christoph Steup; Sanaz Mostaghim (IEEE Internet Things J., 2022)

A Scalable Many-Objective Pathfinding Benchmark Suite. - Jens Weise; Sanaz Mostaghim (IEEE Trans. Evol. Comput., 2022)

Computational Intelligence - A Methodological Introduction, Third Edition - Rudolf Kruse; Sanaz Mostaghim; Christian Borgelt; Christian Braune; Matthias Steinbrecher (Springer, 2022)

Medical and Behavioral Knowledge Discovery using Multi-Objective Analysis. - Sanaz Mostaghim; Qihao Shan; Christiane Desel; Alexander Duscha; Aiden Haghikia; Tobias Hegelmaier; Felix Kuhn; Stefan Remy (CIBCB, 2023)

Online Learning Hyper-Heuristics in Multi-Objective Evolutionary Algorithms. - Julia Heise; Sanaz Mostaghim (EMO, 2023)

MACO: A Real-World Inspired Benchmark for Multi-objective Evolutionary Algorithms. - Sebastian Mai; Tobias Benecke; Sanaz Mostaghim (EMO, 2023)

Graph Networks as Inductive Bias for Genetic Programming: Symbolic Models for Particle-Laden Flows. - Julia Reuter; Hani Elmestikawy; Fabien Evrard; Sanaz Mostaghim; Berend G. M. van Wachem (EuroGP, 2023)

A Generalized Circular Supply Chain Problem for Multi-objective Evolutionary Algorithms. - Tobias Benecke; Oliver Antons; Sanaz Mostaghim; Julia C. Arlinghaus (GECCO Companion, 2023)

Multi-Objective Seed Curve Optimization for Coverage Path Planning in Precision Farming. - Lukas Bostelmann-Arp; Christoph Steup; Sanaz Mostaghim (GECCO, 2023)

Multi-objective Multiplexer Decision Making Benchmark Problem. - Boris Djartov; Sanaz Mostaghim (GECCO Companion, 2023)

Towards Benchmarking of Pathfinding Algorithms in Path-Influenced Environments. - Julia Heise; Jens Weise; Sanaz Mostaghim (GECCO Companion, 2023)

Landscape Analysis of Multi-objective Control of Fluidized Beds. - Iffat Jamil; Sanaz Mostaghim; Berend G. M. van Wachem; Victor Chéron; Max Hausmann (GECCO Companion, 2023)

A Preference-based Activity Scheduling Algorithm Using Many-objective Optimization. - Markus Rothkötter; Sanaz Mostaghim (GECCO Companion, 2023)

Interactive Role Mining Including Expert Knowledge into Evolutionary Algorithms. - Simon Anderer; Nicolas Justen; Bernd Scheuermann; Sanaz Mostaghim (IJCCI, 2023)

Next Generation of Multi-Objective Evolutionary Optimization and Decision-Making Algorithms. - Sanaz Mostaghim (IJCCI, 2023)

Sustainability in Chemical Production - Multi-Objective Distributed Control. - Oliver Antons; Tobias Benecke; Sanaz Mostaghim; Julia C. Arlinghaus (SoMeT, 2023)

Effects of Optimal Genetic Material in the Initial Population of Evolutionary Algorithms. - Tobias Benecke; Sanaz Mostaghim (SSCI, 2023)

Multi-Objective Island Model Genetic Programming for Predicting the Stokes Flow around a Sphere. - Julia Reuter; Pravin Pandey; Sanaz Mostaghim (SSCI, 2023)

Survey on Multi-Objective Task Allocation Algorithms for IoT Networks. - Dominik Weikert; Christoph Steup; Sanaz Mostaghim (Sensors, 2023)

Evolutionary Algorithm for Parameter Optimization of Context-Steering Agents. - Alexander Dockhorn; Martin Kirst; Sanaz Mostaghim; Martin Wieczorek; Heiner Zille (IEEE Trans. Games, 2023)

Analysis of inter and intra-front operations in multi-modal multi-objective optimization problems. - Mahrokh Javadi; Sanaz Mostaghim (Nat. Comput., 2023)

A comparison of distance metrics for the multi-objective pathfinding problem. - Jens Weise; Sanaz Mostaghim (Nat. Comput., 2023)

Noise-resistant and scalable collective preference learning via ranked voting in swarm robotics. - Qihao Shan; Sanaz Mostaghim (Swarm Intell., 2023)

Dynamic Optimization of Role Concepts for Role-Based Access Control Using Evolutionary Algorithms. - Simon Anderer; Tobias Kempter; Bernd Scheuermann; Sanaz Mostaghim (SN Comput. Sci., 2023)

Dataset (Pareto fronts and sets) for the Multi-objective pathfinding problem. - Jens Weise; Sanaz Mostaghim (Zenodo, 2023)

Decentralized Conflict Resolution for Navigation in Swarm Robotics. - Sebastian Mai; Sanaz Mostaghim (ANTS, 2024)

Free-Form Coverage Path Planning of Quadcopter Swarms for Search and Rescue Missions Using Multi-Objective Optimization. - Lukas Bostelmann-Arp; Christoph Steup; Sanaz Mostaghim (CEC, 2024)

A Learning Classifier System Approach to Time-Critical Decision-Making in Dynamic Alternate Airport Selection. - Boris Djartov; Sanaz Mostaghim; Anne Papenfuß; Matthias Wies (CEC, 2024)

Optimized Drug Design using Multi-Objective Evolutionary Algorithms with SELFIES. - Tomoya Hömberg; Sanaz Mostaghim; Satoru Hiwa; Tomoyuki Hiroyasu (CEC, 2024)

A Survey on Multi-Objective Optimization in Microgrid Systems. - Saiful Islam; Sanaz Mostaghim; Michael Hartmann (CEC, 2024)

Application of a Bi-Objective EA for RAN Resources Optimization in a Dynamic Scenario. - Markus Rothkötter; Niklas Kluge; Sanaz Mostaghim (CEC, 2024)

Match Point AI: A Novel AI Framework for Evaluating Data-Driven Tennis Strategies. - Carlo Nübel; Alexander Dockhorn; Sanaz Mostaghim (CoG, 2024)

Studies on Multi-objective Role Mining in ERP Systems. - Simon Anderer; Bernd Scheuermann; Sanaz Mostaghim (EvoStar, 2024)

Finding Sets of Solutions for Temporal Uncertain Problems. - Jens Weise; Sanaz Mostaghim (EvoApplications@EvoStar, 2024)

Survival Strategies for Evolutionary Role Mining Algorithms Using Expert Knowledge. - Simon Anderer; Nicolas Justen; Bernd Scheuermann; Sanaz Mostaghim (GECCO Companion, 2024)

Unit-Aware Genetic Programming for the Development of Empirical Equations. - Julia Reuter; Viktor Martinek; Roland Herzog; Sanaz Mostaghim (PPSN (1), 2024)

Innovization for Route Planning Applied to an Uber Movement Speeds Dataset for Berlin. - Eva Röper; Jens Weise; Christoph Steup; Sanaz Mostaghim (PPSN (4), 2024)

Shape Constraints in Symbolic Regression using Penalized Least Squares. - Viktor Martinek; Julia Reuter; Ophelia Frotscher; Sanaz Mostaghim; Markus Richter; Roland Herzog (CoRR, 2024)

Data for the paper: "Deterministic drag modelling for spherical particles in Stokes regime using data-driven approaches". - Hani Elmestikawy; Julia Reuter; Fabien Evrard; Sanaz Mostaghim; Berend G. M. van Wachem (Zenodo, 2024)

Heatmap Visualisation of Population Based Multi Objective Algorithms. - Sanaz Mostaghim; Andy Pryke (Zenodo, 2024)

Many-option collective decision making: discrete collective estimation in large decision spaces. - Qihao Shan; Sanaz Mostaghim (Swarm Intell., 2024)

Encodings for Multi-objective Free-Form Coverage Path Planning. - Lukas Bostelmann-Arp; Christoph Steup; Sanaz Mostaghim (EMO (1), 2025)

Studies on Survival Strategies to Protect Expert Knowledge in Evolutionary Algorithms for Interactive Role Mining. - Simon Anderer; Nicolas Justen; Bernd Scheuermann; Sanaz Mostaghim (EvoCOP@EvoStar, 2025)

Genotype vs. Phenotype: A Crossover Operator Comparison for the Multi-Objective Coverage Path Planning Problem. - Lukas Bostelmann-Arp; Christoph Steup; Sanaz Mostaghim (GECCO, 2025)

Navigating Path-Influenced Environments using Evolutionary Multi-Objective Optimization. - Carlo Nübel; Malte Speidel; Sanaz Mostaghim (GECCO, 2025)

Optimization of Unequal-Area Facility Layouts for Mass-Customization Assembly Systems with AGV Material Handling. - Thomas Seidelmann; Sanaz Mostaghim (GECCO, 2025)

The Road to Learning Explainable Inverse Kinematic Models: Graph Neural Networks as Inductive Bias for Symbolic Regression. - Pravin Pandey; Julia Reuter; Christoph Steup; Sanaz Mostaghim (CoRR, 2025)

Software for online bubble detection, determining bubble statistics, control of input parameters, and control of fluidized beds. - Berend G. M. van Wachem; Carlo Nübel; Pravin Brajesh Pandey; Sanaz Mostaghim (Zenodo, 2025)

Multi-Objective Optimization Algorithms for Energy Management Systems in Microgrids: A Control Strategy Based on a PHIL System. - Saiful Islam; Sanaz Mostaghim; Michael Hartmann (CoRR, 2025)

Mining Two-Level Role Concepts Using Evolutionary Algorithms. - Simon Anderer; Falk Schrader; Bernd Scheuermann; Sanaz Mostaghim (SN Comput. Sci., 2025)