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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. (Editor, http://id.loc.gov/vocabulary/relators/edt), Dhaenens, Clarisse. (Editor, http://id.loc.gov/vocabulary/relators/edt), Jourdan, Laetitia. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edition:1st ed. 2010.
Series:Studies in Computational Intelligence, 272
Subjects:
Applied mathematics.
Engineering mathematics.
Artificial intelligence.
Mathematical and Computational Engineering.
Artificial Intelligence.
Online Access:https://doi.org/10.1007/978-3-642-11218-8
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Table of Contents:
  • Multi-Objective Combinatorial Optimization: Problematic and Context
  • Approximating Pareto-Optimal Sets Using Diversity Strategies in Evolutionary Multi-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-objective Metaheuristic for Disaster Relief Operation Planning.

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