Sanaz Mostaghim

Orcid: 0000-0002-9917-5227

Affiliations:
  • Otto von Guericke University Magdeburg, Faculty of Computer Science, Germany
  • Karlsruhe Institute of Technology, AIFB, Germany
  • University of Paderborn, Department of Electrical Engineering, Germany


According to our database1, Sanaz Mostaghim authored at least 189 papers between 2002 and 2024.

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Bibliography

2024
Many-option collective decision making: discrete collective estimation in large decision spaces.
Swarm Intell., September, 2024

Shape Constraints in Symbolic Regression using Penalized Least Squares.
CoRR, 2024

Innovization for Route Planning Applied to an Uber Movement Speeds Dataset for Berlin.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Unit-Aware Genetic Programming for the Development of Empirical Equations.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Survival Strategies for Evolutionary Role Mining Algorithms Using Expert Knowledge.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Finding Sets of Solutions for Temporal Uncertain Problems.
Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

Studies on Multi-objective Role Mining in ERP Systems.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2024

Match Point AI: A Novel AI Framework for Evaluating Data-Driven Tennis Strategies.
Proceedings of the IEEE Conference on Games, 2024

Application of a Bi-Objective EA for RAN Resources Optimization in a Dynamic Scenario.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

A Survey on Multi-Objective Optimization in Microgrid Systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Optimized Drug Design using Multi-Objective Evolutionary Algorithms with SELFIES.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

A Learning Classifier System Approach to Time-Critical Decision-Making in Dynamic Alternate Airport Selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Free-Form Coverage Path Planning of Quadcopter Swarms for Search and Rescue Missions Using Multi-Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Decentralized Conflict Resolution for Navigation in Swarm Robotics.
Proceedings of the Swarm Intelligence - 14th International Conference, 2024

2023
Dataset (Pareto fronts and sets) for the Multi-objective pathfinding problem.
Dataset, October, 2023

Dynamic Optimization of Role Concepts for Role-Based Access Control Using Evolutionary Algorithms.
SN Comput. Sci., July, 2023

Noise-resistant and scalable collective preference learning via ranked voting in swarm robotics.
Swarm Intell., June, 2023

A comparison of distance metrics for the multi-objective pathfinding problem.
Nat. Comput., June, 2023

Analysis of inter and intra-front operations in multi-modal multi-objective optimization problems.
Nat. Comput., June, 2023

Evolutionary Algorithm for Parameter Optimization of Context-Steering Agents.
IEEE Trans. Games, March, 2023

Survey on Multi-Objective Task Allocation Algorithms for IoT Networks.
Sensors, 2023

Multi-Objective Island Model Genetic Programming for Predicting the Stokes Flow around a Sphere.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Effects of Optimal Genetic Material in the Initial Population of Evolutionary Algorithms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Sustainability in Chemical Production - Multi-Objective Distributed Control.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2023

Next Generation of Multi-Objective Evolutionary Optimization and Decision-Making Algorithms.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Interactive Role Mining Including Expert Knowledge into Evolutionary Algorithms.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

A Preference-based Activity Scheduling Algorithm Using Many-objective Optimization.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Landscape Analysis of Multi-objective Control of Fluidized Beds.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Towards Benchmarking of Pathfinding Algorithms in Path-Influenced Environments.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Multi-objective Multiplexer Decision Making Benchmark Problem.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Multi-Objective Seed Curve Optimization for Coverage Path Planning in Precision Farming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

A Generalized Circular Supply Chain Problem for Multi-objective Evolutionary Algorithms.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Graph Networks as Inductive Bias for Genetic Programming: Symbolic Models for Particle-Laden Flows.
Proceedings of the Genetic Programming - 26th European Conference, 2023

MACO: A Real-World Inspired Benchmark for Multi-objective Evolutionary Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Online Learning Hyper-Heuristics in Multi-Objective Evolutionary Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Medical and Behavioral Knowledge Discovery using Multi-Objective Analysis.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

2022
Computational Intelligence - A Methodological Introduction, Third Edition
Texts in Computer Science, Springer, ISBN: 978-3-030-42226-4, 2022

A Scalable Many-Objective Pathfinding Benchmark Suite.
IEEE Trans. Evol. Comput., 2022

Availability-Aware Multiobjective Task Allocation Algorithm for Internet of Things Networks.
IEEE Internet Things J., 2022

Exploring Dynamic Pandemic Containment Strategies Using Multi-Objective Optimization [Research Frontier].
IEEE Comput. Intell. Mag., 2022

Description and First Evaluation of an Approach for a Pilot Decision Support System Based on Multi-attribute Decision Making.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

On using Authorization Traces to Support Role Mining with Evolutionary Algorithms.
Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

Driving Swarm: A Swarm Robotics Framework for Intelligent Navigation in a Self-organized World.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Surrogate models for IoT task allocation optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Estimating the quality of initial populations in multi-objective evolutionary algorithms.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Evolutionary Algorithms for the Constrained Two-Level Role Mining Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2022

Genetic Programming-Based Inverse Kinematics for Robotic Manipulators.
Proceedings of the Genetic Programming - 25th European Conference, 2022

Multi-Objective Task Allocation for Dynamic IoT Networks.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

Finding Cost-Effective Re-Layouting Solutions in Modern Brownfield Facility Layout Planning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Towards Improving Simulations of Flows around Spherical Particles Using Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Multi-Objective Roadmap Optimization for Multiagent Navigation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Benchmarking Performances of Collective Decision-Making Strategies with Respect to Communication Bandwidths in Discrete Collective Estimation.
Proceedings of the Swarm Intelligence - 13th International Conference, 2022

Collective Decision-Making for Conflict Resolution in Multi-Agent Pathfinding.
Proceedings of the Swarm Intelligence - 13th International Conference, 2022

2021
Discrete collective estimation in swarm robotics with distributed Bayesian belief sharing.
Swarm Intell., 2021

Achieving task allocation in swarm intelligence with bi-objective embodied evolution.
Swarm Intell., 2021

Multi-featured collective perception with Evidence Theory: tackling spatial correlations.
Swarm Intell., 2021

MOSAIK: A Formal Model for Self-Organizing Manufacturing Systems.
IEEE Pervasive Comput., 2021

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

A Comparative Study of Different Encodings on the Multi-Objective Pathfinding Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

A Customized Niching Methodology for the Many-Objective Pathfinding Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Mobility-Aware Multi-Objective Task Allocation for Wireless Sensor Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Discrete Collective Estimation in Swarm Robotics with Ranked Voting Systems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Meeting Demands for Mass Customization: A Hybrid Organic Computing Approach.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

A Multi-objective Multimodal Evolutionary Algorithm Using a Novel Tournament and Environmental Selections.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

The Impact of Population Size on the Convergence of Multi-objective Evolutionary Algorithms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

RMPlib: A Library of Benchmarks for the Role Mining Problem.
Proceedings of the SACMAT '21: The 26th ACM Symposium on Access Control Models and Technologies, 2021

The Dynamic Role Mining Problem: Role Mining in Dynamically Changing Business Environments.
Proceedings of the 13th International Joint Conference on Computational Intelligence, 2021

Unit-aware multi-objective genetic programming for the prediction of the stokes flow around a sphere.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Dissecting Neural Networks Filter Responses for Artistic Style Transfer.
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2021

Many-Objective Pathfinding Based on Fréchet Similarity Metric.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Using Neighborhood-Based Density Measures for Multimodal Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Multi-Objective Optimization and Decision-Making in Context Steering.
Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

Optimal Control Policies to Address the Pandemic Health-Economy Dilemma.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Tracking the Heritage of Genes in Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Scalable Many-Objective Pathfinding Benchmark Suite Pareto-fronts and Sets.
Dataset, October, 2020

Particle Swarm Contour Search Algorithm.
Entropy, 2020

sKPNSGA-II: Knee point based MOEA with self-adaptive angle for Mission Planning Problems.
CoRR, 2020

Ant Colony Optimization based Multi-Robot Planner for Combined Task Allocation and Path Finding.
Proceedings of the 17th International Conference on Ubiquitous Robots, 2020

Multi-Objective Task Allocation for Wireless Sensor Networks.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Impact of Communication Topology on PSO-based Swarms in Vector Fields.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Collective and Individual Decision-Making in Swarm Robotics.
Proceedings of the International Conference on Robotics, 2020

The addRole-EA: A New Evolutionary Algorithm for the Role Mining Problem.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

Enhancing Resilience in IoT Networks using Organic Computing.
Proceedings of the 50. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2020 - Back to the Future, Karlsruhe, Germany, 28. September, 2020

A many-objective route planning benchmark problem for navigation.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Survey into predictive key performance indicator analysis from data mining perspective.
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

Machine Learning for evaluating Kaizens in Volkswagen Production System - An Industrial Case study.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

On the Scalable Multi-Objective Multi-Agent Pathfinding Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

T-EA: A Traceable Evolutionary Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Novel Grid-based Crowding Distance for Multimodal Multi-objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Collective Decision Making in Swarm Robotics with Distributed Bayesian Hypothesis Testing.
Proceedings of the Swarm Intelligence - 12th International Conference, 2020

Modeling Pathfinding for Swarm Robotics.
Proceedings of the Swarm Intelligence - 12th International Conference, 2020

2019
Building a Planner: A Survey of Planning Systems Used in Commercial Video Games.
IEEE Trans. Games, 2019

Introducing the Hearthstone-AI Competition.
CoRR, 2019

Graph-based multi-objective generation of customised wiring harnesses.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Multi-objective collective search and movement-based metrics in swarm robotics.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Modified crowding distance and mutation for multimodal multi-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Performance of dynamic algorithms on the dynamic distance minimization problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Positive impact of isomorphic changes in the environment on collective decision-making.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Online Optimization of Movement Cost for Robotic Applications of PSO.
Proceedings of the Progress in Artificial Intelligence, 2019

Ising Model as a Switch Voting Mechanism in Collective Perception.
Proceedings of the Progress in Artificial Intelligence, 2019

Benchmarking Collective Perception: New Task Difficulty Metrics for Collective Decision-Making.
Proceedings of the Progress in Artificial Intelligence, 2019

Linear Search Mechanism for Multi- and Many-Objective Optimisation.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Evolving Game State Evaluation Functions for a Hybrid Planning Approach.
Proceedings of the IEEE Conference on Games, 2019

A Local Approach to Forward Model Learning: Results on the Game of Life Game.
Proceedings of the IEEE Conference on Games, 2019

2018
A Framework for Large-Scale Multiobjective Optimization Based on Problem Transformation.
IEEE Trans. Evol. Comput., 2018

Multi-objective distance minimization problems - applications in technical systems.
Autom., 2018

A Survey on Graph-based Systems in Manufacturing Processes.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Simultaneous Localisation and Optimisation for Swarm Robotics.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Understanding Collective Decision-Making in Natural Swarms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

PSO-Based Search Rules for Aerial Swarms Against Unexplored Vector Fields via Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Meta Heuristics for Dynamic Machine Scheduling: A Review of Research Efforts and Industrial Requirements.
Proceedings of the 10th International Joint Conference on Computational Intelligence, 2018

Transfer strategies from single- to multi-objective grouping mechanisms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

How swarm size during evolution impacts the behavior, generalizability, and brain complexity of animats performing a spatial navigation task.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Evolving PSO algorithm design in vector fields using geometric semantic GP.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Towards a General Framework for Artistic Style Transfer.
Proceedings of the Computational Intelligence in Music, Sound, Art and Design, 2018

Investigation of a Simple Distance Based Ranking Metric for Decomposition-Based Multi/Many-Objective Evolutionary Algorithms.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Vector Field Benchmark for Collective Search in Unknown Dynamic Environments.
Proceedings of the Swarm Intelligence - 11th International Conference, 2018

A Hybrid Approach to Planning and Execution in Dynamic Environments Through Hierarchical Task Networks and Behavior Trees.
Proceedings of the Fourteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2018

2017
Comparison study of large-scale optimisation techniques on the LSMOP benchmark functions.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Energy-saving decision making for aerial swarms: PSO-based navigation in vector fields.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Towards Real-Time Fleet-Event-Handling for the Dynamic Vehicle Routing Problem.
Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017

A knee point based evolutionary multi-objective optimization for mission planning problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Heterogeneous Evolutionary Swarms with Partial Redundancy Solving Multi-objective Tasks.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

Solving the Bi-objective Traveling Thief Problem with Multi-objective Evolutionary Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

HTN fighter: Planning in a highly-dynamic game.
Proceedings of the 2017 9th Computer Science and Electronic Engineering Conference, 2017

Dynamic Distance Minimization Problems for dynamic multi-objective optimization.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Elitism and aggregation methods in partial redundant evolutionary swarms solving a multi-objective tasks.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

PSO-based Search mechanism in dynamic environments: Swarms in Vector Fields.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Computational Intelligence - A Methodological Introduction, Second Edition
Texts in Computer Science, Springer, ISBN: 978-1-4471-7296-3, 2016

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

Mutation operators based on variable grouping for multi-objective large-scale optimization.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Influence of dynamic environments on agent strategies.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Energy Aware Particle Swarm Optimization as search mechanism for aerial micro-robots.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Weighted Optimization Framework for Large-scale Multi-objective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

The Influence of Heredity Models on Adaptability in Evolutionary Swarms.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Multi-objective tree search approaches for general video game playing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Multi-objective fitness-proportional attraction approach with weights.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Functional brain network extraction using a genetic algorithm with a kick-out method.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Multiobjective Monte Carlo Tree Search for Real-Time Games.
IEEE Trans. Comput. Intell. AI Games, 2015

Confidence measure: A novel metric for robust meta-heuristic optimisation algorithms.
Inf. Sci., 2015

Using ?-Dominance for Hidden and Degenerated Pareto-Fronts.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Open Loop Search for General Video Game Playing.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Properties of scalable Distance Minimization Problems using the Manhattan metric.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Hop count based distance estimation in mobile ad hoc networks - Challenges and consequences.
Ad Hoc Networks, 2014

A review of hybrid evolutionary multiple criteria decision making methods.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Archive Based Multi-swarm Algorithm for Many-Objective Problems.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
Experimental Analysis of Bound Handling Techniques in Particle Swarm Optimization.
IEEE Trans. Evol. Comput., 2013

Preface: nature inspired solutions for high performance computing.
Nat. Comput., 2013

Distributed swarm evacuation planning.
Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, 2013

Iterated multi-swarm: a multi-swarm algorithm based on archiving methods.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
A Study of Mobility in Ad Hoc Networks and Its Effects on a Hop Count Based Distance Estimation.
Proceedings of the 5th International Conference on New Technologies, 2012

Validating a Peer-to-Peer Evolutionary Algorithm.
Proceedings of the Applications of Evolutionary Computation, 2012

Adaptive Range Parameter Control.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Distributed Geometric Distance Estimation in Ad Hoc Networks.
Proceedings of the Ad-hoc, Mobile, and Wireless Networks - 11th International Conference, 2012

2011
A Markov-chain-based Model for Success Prediction of Evolution in Complex Environments.
Proceedings of the ECTA and FCTA 2011, 2011

Self-organized invasive parallel optimization.
Proceedings of the 3rd Workshop on Biologically Inspired Algorithms for Distributed Systems, 2011

Organic Computing in Off-highway Machines.
Proceedings of the Organic Computing - A Paradigm Shift for Complex Systems, 2011

2010
Parallel Multi-objective Optimization Using Self-organized Heterogeneous Resources.
Proceedings of the Parallel and Distributed Computational Intelligence, 2010

Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities.
Proceedings of the Parallel Problem Solving from Nature, 2010

Organic computing in off-highway machines.
Proceedings of the Second International Workshop on Self-Organizing Architectures, 2010

The automotive deployment problem: A practical application for constrained multiobjective evolutionary optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Intelligent Business Process Execution using Particle Swarm Optimization.
Proceedings of the Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, 2010

2009
Decentralized evolution of robotic behavior using finite state machines.
Int. J. Intell. Comput. Cybern., 2009

09041 Working Group on EMO for Robust Multiobjective Optimization (1st Round).
Proceedings of the Hybrid and Robust Approaches to Multiobjective Optimization, 18.01., 2009

Dynamic search initialisation strategies for multi-objective optimisation in peer-to-peer networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Empirical comparison of MOPSO methods - Guide selection and diversity preservation -.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Online and onboard evolution of robotic behavior using finite state machines.
Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

Self-organized Parallel Cooperation for Solving Optimization Problems.
Proceedings of the Architecture of Computing Systems, 2009

2008
Distance Based Ranking in Many-Objective Particle Swarm Optimization.
Proceedings of the Parallel Problem Solving from Nature, 2008

Parallel Approaches for Multiobjective Optimization.
Proceedings of the Multiobjective Optimization, 2008

Asynchronous multiple objective particle swarm optimisation in unreliable distributed environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Parallel multi-objective optimization using Master-Slave model on heterogeneous resources.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Design of Gate Array Circuits Using Evolutionary Algorithms.
Proceedings of the Architecture of Computing Systems, 2008

2007
Multi-objective particle swarm optimization on computer grids.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Heatmap Visualization of Population Based Multi Objective Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

2006
About Selecting the Personal Best in Multi-Objective Particle Swarm Optimization.
Proceedings of the Parallel Problem Solving from Nature, 2006

Hybrid Particle Guide Selection Methods in Multi-Objective Particle Swarm Optimization.
Proceedings of the Second International Conference on e-Science and Grid Technologies (e-Science 2006), 2006

Bilevel Optimization of Multi-Component Chemical Systems Using Particle Swarm Optimization.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
A New Approach on Many Objective Diversity Measurement.
Proceedings of the Practical Approaches to Multi-Objective Optimization, 2005

Quad-trees: A Data Structure for Storing Pareto Sets in Multiobjective Evolutionary Algorithms with Elitism.
Proceedings of the Evolutionary Multiobjective Optimization, 2005

2004
Multi-objective evolutionary algorithms: data structures, convergence, and diversity.
PhD thesis, 2004

Covering Pareto-optimal fronts by subswarms in multi-objective particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Molecular force field parametrization using multi-objective evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Strategies for finding good local guides in multi-objective particle swarm optimization (MOPSO).
Proceedings of the 2003 IEEE Swarm Intelligence Symposium, 2003

Covering Pareto Sets by Multilevel Evolutionary Subdivision Techniques.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2003

Solving Hierarchical Optimization Problems Using MOEAs.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2003

The role of ε-dominance in multi objective particle swarm optimization methods.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
Comparison of data structures for storing Pareto-sets in MOEAs.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002


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