Advances in Multi-Objective Nature Inspired Computing: 272 - Brossura

Brossura

ISBN 10: 3642262384 ISBN 13: 9783642262388

Casa editrice: Springer, 2012

Riassunto

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.

Su questo libro

Contenuti:

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.

Su questa edizione

• Editore: Springer
• Data di pubblicazione: 2012
• ISBN 10: 3642262384
• ISBN 13: 9783642262388
• Rilegatura: Copertina flessibile
• Numero di pagine: 212
• Redattore: Coello Coello Carlos, Dhaenens Clarisse, Jourdan Laetitia