9780792376545: Evolutionary Optimization: 48
Rilegato
ISBN 10: 0792376544 ISBN 13: 9780792376545
Casa editrice: SPRINGER NATURE, 2002

Sinossi

Over the years, the use and application of evolutionary computation techniques has improved resulting in a set of computational intelligence (also known as modern heuristics) tools that are particularly adept for solving complex optimization problems. Moreover, they are characteristically more robust than traditional methods based on formal logics or mathematical programming for many real world OR/MS problems. Hence, evolutionary computation techniques have dealt with complex optimization problems better than traditional optimization techniques although they can be applied to easy and simple problems where conventional techniques work well. This volume reviews evolutionary computation techniques and surveys the most recent developments in their use for solving complex OR/MS problems.

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Recensione

From the reviews:

"The book contains 17 chapters written by leading experts in evolutionary computation. ... Of special value is the analysis of evolutionary algorithms on pseudo-Boolean functions, given by Ingo Wegener. He and his coauthors are the first, who proved substantially sharp results on the expected run time and the success probability for evolutionary algorithms with (respectively without) crossover, giving sharp upper and lower bounds." (Hartmut Noltemeier, Zentralblatt MATH, Vol. 1072 (23), 2005)

Contenuti

Preface. Contributing Authors. Part I: Introduction. 1. Conventional Optimization Techniques; M.S. Hillier, F.S. Hillier. 2. Evolutionary Computation; Xin Yao. Part II: Single Objective Optimization. 3. Evolutionary Algorithms and Constrained Optimization; Z. Michalewicz, M. Schmidt. 4. Constrained Evolutionary Optimization; T. Runarsson, Xin Yao. Part III: Multi-Objective Optimization. 5. Evolutionary Multiobjective Optimization; C.A. Coello Coello. 6. MEA for Engineering Shape Design; K. Deb, T. Goel. 7. Assessment Methodologies for MEAs; R. Saker, C.A. Coello Coello. Part IV: Hybrid Algorithms. 8. Hybrid Genetic Algorithms; J.A. Joines, M.G. Kay. 9. Combining choices of heuristics; P. Ross, E. Hart. 10. Nonlinear Constrained Optimization; B.W. Wah, Yi-Xin Chen. Part V: Parameter Selection in EAs. 11. Parameter Selection; Z. Michalewicz, et al. 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; I. Wegener. 15. A GA Heuristic For Finite Horizon POMDPs; A.Z.-Z. Lin, et al. 16. Finding Good k-Tree Subgraphs; E. Ghashghai, R.L. Rardin. Index.

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Editore
SPRINGER NATURE
Data di pubblicazione
2002
Lingua
Inglese
ISBN 10 
0792376544
ISBN 13 
9780792376545
Rilegatura
Copertina rigida
Numero di pagine
418
Redattore
Sarker Ruhul, Mohammadian Masoud, Xin Yao
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
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Hamburg
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Altre edizioni note dello stesso titolo

9781475775709: Evolutionary Optimization: 48

Edizione in evidenza

ISBN 10:  1475775709 ISBN 13:  9781475775709
Casa editrice: Springer, 2013
Brossura