Advances in Multi-Objective Nature Inspired Computing

Carlos Coello Coello, Clarisse Dhaenens, Laetitia Jourdan (Herausgeber)

Buch | Softcover

XV, 195 Seiten

2012
Springer Berlin (Verlag)
978-3-642-26238-8 (ISBN)

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Recent advances in multi-objective, nature-inspired computing is presented in this comprehensive reference. This collection provides the non-expert with an overview of the field, and aims to motivate researchers to contribute to the field.

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.

Multi-Objective Combinatorial Optimization: Problematic and Context.- Approximating Pareto-Optimal Sets Using Diversity Strategies in EvolutionaryMulti-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-objectiveMetaheuristic for Disaster Relief Operation Planning.

Erscheint lt. Verlag	4.5.2012
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	XV, 195 p.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Gewicht	328 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Technik
Schlagworte	algorithm • combinatorial optimization • Computational Intelligence • Evolution • evolutionary algorithm • Heuristics • Heuristik • Informatik • Metaheuristic • Multi-Objective Optimization • Natural Computing • Nature-Inspired Computing • Operations Research • Optimization
ISBN-10	3-642-26238-4 / 3642262384
ISBN-13	978-3-642-26238-8 / 9783642262388
Zustand	Neuware