| 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. |
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