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Herausgeber: 
  • Cesar Rego
  • Bahram Alidaee
  • Metaheuristic Optimization via Memory and Evolution: Tabu Search and Scatter Search 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2010  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Applied mathematics / C / Decision Making / Engineering mathematics / Management & management techniques / Management decision making / Management science / Mathematical and Computational Engineering / Mathematical and Computational Engineering Applications / Mathematical optimization / Mathematics and Statistics / Maths for engineers / Operational research / Operations Research / Operations Research and Decision Theory / Operations Research, Management Science / Operations Research/Decision Theory / Optimization
    ISBN:  9781441954831 
    EAN-Code: 
    9781441954831 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #30 - Operations Research/Computer Science Interfaces Series  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  730 gr 
    Seiten:  466 
    Illustration:  XIV, 466 p. 69 illus., schwarz-weiss Illustrationen 
    Zus. Info:  Previously published in hardcover 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Tabu Search (TS) and, more recently, Scatter Search (SS) have proved highly effective in solving a wide range of optimization problems, and have had a variety of applications in industry, science, and government. The goal of METAHEURISTIC OPTIMIZATION VIA MEMORY AND EVOLUTION: Tabu Search and Scatter Search is to report original research on algorithms and applications of tabu search, scatter search or both, as well as variations and extensions having "adaptive memory programming" as a primary focus. Individual chapters identify useful new implementations or new ways to integrate and apply the principles of TS and SS, or that prove new theoretical results, or describe the successful application of these methods to real world problems.

    From the preface:

    .Where Are We Headed?

    The chapters of this book provide a series of landmarks along the way as we investigate and seek to better understand the elements of tabu search and scatter search that account for their successes in an astonishingly varied range of applications. The contributions of the chapters are diverse in scope, and are not uniform in the degree that they plumb or take advantage of fundamental principles underlying TS and SS. Collectively, however, they offer a useful glimpse of issues that deserve to be set in sharper perspective, and that move us farther along the way toward dealing with problems whose size and complexity pose key challenges to the optimization methods of tomorrow...

    Fred Glover

    University of Colorado

      



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