Advances in Multi-Objective Nature Inspired Computing

1. Auflage. 2010
ISBN: 978-3-642-11217-1
Verlag: Springer

Buch, Englisch, Band 272, 195 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1060 g

Reihe: Studies in Computational Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Coello Coello, Carlos

Dhaenens, Clarisse

Jourdan, Laetitia

Fachgebiete

• Mathematik | Informatik Mathematik Operations Research
• Mathematik | Informatik Mathematik Mathematik Allgemein Diskrete Mathematik, Kombinatorik
• Technische Wissenschaften Technik Allgemein Bionik, Biomimetik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

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.