Advances in Multi-Objective Nature Inspired Computing
Başlık:
Advances in Multi-Objective Nature Inspired Computing
ISBN:
9783642112188
Edition:
1st ed. 2010.
Yayın Bilgileri:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Fiziksel Tanımlama:
XV, 195 p. online resource.
Series:
Studies in Computational Intelligence, 272
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.
Abstract:
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.
Ek Kurum Yazarı:
Elektronik Erişim:
Full Text Available From Springer Nature Engineering 2010 Packages
Dil:
English