"The Wiley Paperback Series" makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists. Evolutionary algorithms are very powerful techniques used to find solutions to real-world searchand 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. This title provides comprehensive coverage of this growing area of research. It carefully introduces each algorithm with examples and in-depth discussion. It also includes many applications to real-world problems, including engineering design and scheduling. It also includes discussion of advanced topics and future research. It is accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms. It provides an extensive discussion on the principles of multi-objective optimization and on a number of classical approaches. This integrated presentation of theory, algorithms and examples will benefit those working in the areas of optimization, optimal design and evolutionary computing. INDICE: Foreword. Preface. Prologue. Multi-Objective Optimization. Classical Methods. Evolutionary Algorithms. Non-Elitist Multi-Objective Evolutionary Algorithms. Elitist Multi-Objective Evolutionary Algorithms. Constrained Multi-Objective Evolutionary Algorithms. Salient Issues of Multi-Objective Evolutionary Algorithms. Applications of Multi-Objective Evolutionary Algorithms. Epilogue. References. Index.
- ISBN: 978-0-470-74361-4
- Editorial: John Wiley & Sons
- Encuadernacion: Rústica
- Páginas: 536
- Fecha Publicación: 30/12/2008
- Nº Volúmenes: 1
- Idioma: Inglés