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Cover of Evolutionary multi-criterion optimization
First published
2003
Publisher
Springer London, Limited
ISBN
9783540447191

Evolutionary multi-criterion optimization

The outer archives are busy

by Eckart Zitzler, Carlos A. Coello Coello, David Corne

About this book

Evolutionary Multi-Criterion Optimization: First International Conference, EMO 2001 Zurich, Switzerland, March 7–9, 2001 Proceedings Author: Eckart Zitzler, Lothar Thiele, Kalyanmoy Deb, Carlos Artemio Coello Coello, David Corne Published by Springer Berlin Heidelberg ISBN: 978-3-540-41745-3 DOI: 10.1007/3-540-44719-9 Table of Contents: Some Methods for Nonlinear Multi-objective Optimization A Short Tutorial on Evolutionary Multiobjective Optimization An Overview in Graphs of Multiple Objective Programming Poor-Definition, Uncertainty, and Human Factors - Satisfying Multiple Objectives in Real-World Decision-Making Environments Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms Adapting Weighted Aggregation for Multiobjective Evolution Strategies Incrementing Multi-objective Evolutionary Algorithms: Performance Studies and Comparisons A Micro-Genetic Algorithm for Multiobjective Optimization Evolutionary Algorithms for Multicriteria Optimization with Selecting a Representative Subset of Pareto Optimal Solutions Multi-objective Optimisation Based on Relation Favour Comparison of Evolutionary and Deterministic Multiobjective Algorithms for Dose Optimization in Brachytherapy On The Effects of Archiving, Elitism, and Density Based Selection in Evolutionary Multi-objective Optimization Global Multiobjective Optimization with Evolutionary Algorithms: Selection Mechanisms and Mutation Control Inferential Performance Assessment of Stochastic Optimisers and the Attainment Function A Statistical Comparison of Multiobjective Evolutionary Algorithms Including the MOMGA-II Performance of Multiple Objective Evolutionary Algorithms on a Distribution System Design Problem - Computational Experiment An Infeasibility Objective for Use in Constrained Pareto Optimization Reducing Local Optima in Single-Objective Problems by Multi-objectivization Constrained Test Problems for Multi-objective Evolutionary Optimization

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