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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Coello Coello, Carlos (Editor ), Dhaenens, Clarisse (Editor ), Jourdan, Laetitia (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Studies in Computational Intelligence, 272
Temas:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

Ejemplares similares