Titre :	Evolutionary optimization
Type de document :	texte imprimé
Auteurs :	Ruhul Sarker, Auteur ; Masoud Mohammadian, Auteur ; Xin Yao, Auteur
Editeur :	Boston, Dordrecht, London : Kluwer Academic Publishers
Année de publication :	2002
Collection :	International Series in Operations Research & Management Science
Importance :	418 p.
Présentation :	couv. ill. en coul., ill.
Format :	23,5 cm.
ISBN/ISSN/EAN :	978-0-7923-7654-5
Langues :	Anglais (eng)
Catégories :	AUTOMATISME
Index. décimale :	25-06 Identification et simulation des processus
Résumé :	Evolutionary computation techniques have attracted increasing att- tions in recent years for solving complex optimization problems. They are more robust than traditional methods based on formal logics or mathematical programming for many real world OR/MS problems. E- lutionary computation techniques can deal with complex optimization problems better than traditional optimization techniques. However, most papers on the application of evolutionary computation techniques to Operations Research /Management Science (OR/MS) problems have scattered around in different journals and conference proceedings. They also tend to focus on a very special and narrow topic. It is the right time that an archival book series publishes a special volume which - cludes critical reviews of the state-of-art of those evolutionary com- tation techniques which have been found particularly useful for OR/MS problems, and a collection of papers which represent the latest devel- ment in tackling various OR/MS problems by evolutionary computation techniques. This special volume of the book series on Evolutionary - timization aims at filling in this gap in the current literature. The special volume consists of invited papers written by leading - searchers in the field. All papers were peer reviewed by at least two recognised reviewers. The book covers the foundation as well as the practical side of evolutionary optimization.
Note de contenu :	Contents: Part I: Introduction. 1. Conventional Optimization Techniques 2. Evolutionary Computation Part II: Single Objective Optimization. 3. Evolutionary Algorithms and Constrained Optimization; 4. Constrained Evolutionary Optimization Part III: Multi-Objective Optimization. 5. Evolutionary Multiobjective Optimization 6. MEA for Engineering Shape Design 7. Assessment Methodologies for MEAs Part IV: Hybrid Algorithms. 8. Hybrid Genetic Algorithms 9. Combining choices of heuristics 10. Nonlinear Constrained Optimization Part V: Parameter Selection in EAs. 11. Parameter Selection Part VI: Application of EAs to Practical Problems. 12. Design of Production Facilities. 13. Virtual Population and Acceleration Techniques. Part VII: Application of EAs to Theoretical Problems. 14. Methods for the analysis of EAs on pseudo-boolean functions 15. A GA Heuristic For Finite Horizon POMDPs 16. Finding Good k-Tree Subgraphs Index.

Evolutionary optimization [texte imprimé] / Ruhul Sarker, Auteur ; Masoud Mohammadian, Auteur ; Xin Yao, Auteur . - Boston, Dordrecht, London : Kluwer Academic Publishers, 2002 . - 418 p. : couv. ill. en coul., ill. ; 23,5 cm.. - (International Series in Operations Research & Management Science) .
ISBN : 978-0-7923-7654-5
Langues : Anglais (eng)

Catégories :	AUTOMATISME
Index. décimale :	25-06 Identification et simulation des processus
Résumé :	Evolutionary computation techniques have attracted increasing att- tions in recent years for solving complex optimization problems. They are more robust than traditional methods based on formal logics or mathematical programming for many real world OR/MS problems. E- lutionary computation techniques can deal with complex optimization problems better than traditional optimization techniques. However, most papers on the application of evolutionary computation techniques to Operations Research /Management Science (OR/MS) problems have scattered around in different journals and conference proceedings. They also tend to focus on a very special and narrow topic. It is the right time that an archival book series publishes a special volume which - cludes critical reviews of the state-of-art of those evolutionary com- tation techniques which have been found particularly useful for OR/MS problems, and a collection of papers which represent the latest devel- ment in tackling various OR/MS problems by evolutionary computation techniques. This special volume of the book series on Evolutionary - timization aims at filling in this gap in the current literature. The special volume consists of invited papers written by leading - searchers in the field. All papers were peer reviewed by at least two recognised reviewers. The book covers the foundation as well as the practical side of evolutionary optimization.
Note de contenu :	Contents: Part I: Introduction. 1. Conventional Optimization Techniques 2. Evolutionary Computation Part II: Single Objective Optimization. 3. Evolutionary Algorithms and Constrained Optimization; 4. Constrained Evolutionary Optimization Part III: Multi-Objective Optimization. 5. Evolutionary Multiobjective Optimization 6. MEA for Engineering Shape Design 7. Assessment Methodologies for MEAs Part IV: Hybrid Algorithms. 8. Hybrid Genetic Algorithms 9. Combining choices of heuristics 10. Nonlinear Constrained Optimization Part V: Parameter Selection in EAs. 11. Parameter Selection Part VI: Application of EAs to Practical Problems. 12. Design of Production Facilities. 13. Virtual Population and Acceleration Techniques. Part VII: Application of EAs to Theoretical Problems. 14. Methods for the analysis of EAs on pseudo-boolean functions 15. A GA Heuristic For Finite Horizon POMDPs 16. Finding Good k-Tree Subgraphs Index.