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Herausgeber: 
  • Masoud Mohammadian
  • Xin Yao
  • Ruhul Sarker
  • Evolutionary Optimization 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  März 2013  
    Genre:  EDV / Informatik 
     
    BUSINESS & ECONOMICS / Leadership / BUSINESS & ECONOMICS / Management / BUSINESS & ECONOMICS / Management Science / BUSINESS & ECONOMICS / Operations Research / BUSINESS & ECONOMICS / Strategic Planning / Business / Economics / Finance / COMPUTERS / Intelligence (AI) & Semantics / MATHEMATICS / Applied
    ISBN:  9781475775709 
    EAN-Code: 
    9781475775709 
    Verlag:  Springer Us 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #48 - International Series in Operations Research & Management Science  
    Dimensionen:  H 235 mm / B 155 mm / D 24 mm 
    Gewicht:  657 gr 
    Seiten:  418 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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.
      



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