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Autor(en): 
  • Erik Cuevas
  • Jorge Gálvez
  • Omar Avalos
  • Analysis and Comparison of Metaheuristics 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  November 2022  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Agent-BasedApproaches / ArtificialIntelligence / ComputationalIntelligence / metaheuristics / MetaHeuristicTechniques
    ISBN:  9783031201042 
    EAN-Code: 
    9783031201042 
    Verlag:  Springer 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 241 mm / B 160 mm / D 19 mm 
    Gewicht:  524 gr 
    Seiten:  236 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book presents a comparative perspective of current metaheuristic developments, which have proved to be effective in their application to several complex problems. The study of biological and social entities such as animals, humans, or insects that manifest a cooperative behavior has produced several computational models in metaheuristic methods. Although these schemes emulate very different processes or systems, the rules used to model individual behavior are very similar. Under such conditions, it is not clear to identify which are the advantages or disadvantages of each metaheuristic technique. The book is compiled from a teaching perspective. For this reason, the book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. It is appropriate for courses such as Artificial Intelligence, Electrical Engineering, Evolutionary Computation. The book is also useful for researchers from the evolutionary and engineering communities. Likewise, engineer practitioners, who are not familiar with metaheuristic computation concepts, will appreciate that the techniques discussed are beyond simple theoretical tools since they have been adapted to solve significant problems that commonly arise in engineering areas.

      



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