Evolutionary Algorithms for Solving Multi-Objective Problems
Coello Coello, Carlos, Lamont, Gary B., van Veldhuizen, David A.
Produktnummer:
1825377fc8b940445b92c16950197929e9
| Autor: | Coello Coello, Carlos Lamont, Gary B. van Veldhuizen, David A. |
|---|---|
| Themengebiete: | Algorithms Analysis algorithm classification computer computer science evolutionary algorithm heuristics metaheuristic optimization |
| Veröffentlichungsdatum: | 18.09.2007 |
| EAN: | 9780387332543 |
| Auflage: | 2 |
| Sprache: | Englisch |
| Seitenzahl: | 800 |
| Produktart: | Gebunden |
| Verlag: | Springer US |
Produktinformationen "Evolutionary Algorithms for Solving Multi-Objective Problems"
Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely applicable in solving both single-objective and multi-objective problems. This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems, including test suites with associated performance based on a variety of appropriate metrics, as well as serial and parallel algorithm implementations.
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