Advances in Multi-Objective Nature Inspired Computing

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 motivati...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Coello Coello, Carlos A. (Editor), Dhaenens, Clarisse. (Editor), Jourdan, Laetitia. (Editor)
Format: Electronic
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Series:Studies in Computational Intelligence, 272
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-11218-8
Table of Contents:
  • Multi-Objective Combinatorial Optimization: Problematic and Context
  • Approximating Pareto-Optimal Sets Using Diversity Strategies in EvolutionaryMulti-Objective Optimization
  • On the Velocity Update in Multi-objective Particle Swarm Optimizers
  • Approaching Dynamic Multi-objective Optimization Problems by Using Parallel Evolutionary Algorithms
  • ParadisEO-MOEO: A Software Framework for Evolutionary Multi-objective Optimization
  • The Multiobjective Traveling Salesman Problem: A Survey and a New Approach
  • On the Performance of Local Search for the Biobjective Traveling Salesman Problem
  • A Bi-objectiveMetaheuristic for Disaster Relief Operation Planning.