Multi-Objective Optimization using Evolutionary Algorithms
John Wiley & Sons, 05.07.2001 - 518 Seiten
Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run.
The integrated presentation of theory, algorithms and examples will benefit those working and researching in the areas of optimization, optimal design and evolutionary computing. This text provides an excellent introduction to the use of evolutionary algorithms in multi-objective optimization, allowing use as a graduate course text or for self-study.
Was andere dazu sagen - Rezension schreiben
NonElitist MultiObjective Evolutionary Algorithms
Elitist MultiObjective Evolutionary Algorithms
Constrained MultiObjective Evolutionary Algorithms
Andere Ausgaben - Alle anzeigen
MULTI-OBJECTIVE OPTIMIZATION USING EVOLUTIONARY ALGORITHMS
Keine Leseprobe verfügbar - 2010
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Alex A. Freitas
Eingeschränkte Leseprobe - 2002