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