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Sarker / Mohammadian

Evolutionary Optimization

Medium: Buch
ISBN: 978-1-4757-7570-9
Verlag: Springer US
Erscheinungstermin: 23.03.2013
Lieferfrist: bis zu 10 Tage

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.


Produkteigenschaften


  • Artikelnummer: 9781475775709
  • Medium: Buch
  • ISBN: 978-1-4757-7570-9
  • Verlag: Springer US
  • Erscheinungstermin: 23.03.2013
  • Sprache(n): Englisch
  • Auflage: Softcover Nachdruck of the original 1. Auflage 2002
  • Serie: International Series in Operations Research & Management Science
  • Produktform: Kartoniert
  • Gewicht: 657 g
  • Seiten: 418
  • Format (B x H x T): 155 x 235 x 24 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

Conventional Optimization Techniques.- Evolutionary Computation.- Single Objective Optimization.- Evolutionary Algorithms and Constrained Optimization.- Constrained Evolutionary Optimization.- Multi-Objective Optimization.- Evolutionary Multi-Objective Optimization: A Critical Review.- Multi-Objective Evolutionary Algorithms for Engineering Shape Design.- Assessment Methodologies for Multiobjective Evolutionary Algorithms.- Hybrid Algorithms.- Utilizing Hybrid Genetic Algorithms.- Using Evolutionary Algorithms to Solve Problems by Combining Choices of Heuristics.- Constrained Genetic Algorithms and Their Applications in Nonlinear Constrained Optimization.- Parameter Selection in EAs.- Parameter Selection.- Application of EAs to Practical Problems.- Design of Production Facilities Using Evolutionary Computing.- Virtual Population and Acceleration Techniques for Evolutionary Power Flow Calculation in Power Systems.- Application of EAs to Theoretical Problems.- Methods for the Analysis of Evolutionary Algorithms on Pseudo-Boolean Functions.- A Genetic Algorithm Heuristic for Finite Horizon Partially Observed Markov Decision Problems.- Using Genetic Algorithms to Find Good K-Tree Subgraphs.