The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems.
Author(s): Carlos A. Coello Coello, Clarisse Dhaenens (auth.), Carlos A. Coello Coello, Clarisse Dhaenens, Laetitia Jourdan (eds.)
Series: Studies in Computational Intelligence 272
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2010
Language: English
Pages: 195
Tags: Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)
Front Matter....Pages -
Multi-Objective Combinatorial Optimization: Problematic and Context....Pages 1-21
Approximating Pareto-Optimal Sets Using Diversity Strategies in Evolutionary Multi-Objective Optimization....Pages 23-44
On the Velocity Update in Multi-Objective Particle Swarm Optimizers....Pages 45-62
Approaching Dynamic Multi-Objective Optimization Problems by Using Parallel Evolutionary Algorithms....Pages 63-86
ParadisEO-MOEO: A Software Framework for Evolutionary Multi-Objective Optimization....Pages 87-117
The Multiobjective Traveling Salesman Problem: A Survey and a New Approach....Pages 119-141
On the Performance of Local Search for the Biobjective Traveling Salesman Problem....Pages 143-165
A Bi-objective Metaheuristic for Disaster Relief Operation Planning....Pages 167-187
Back Matter....Pages -
