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Herausgeber: 
  • Kaushik Kumar
  • Davim J. Paulo
  • Optimization Using Evolutionary Algorithms and Metaheuristics: Applications in Engineering 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  März 2021  
    Genre:  Schulbücher 
     
    bioinformatics engineering applications / Computer-Aided Design (CAD) / Engineering# general / Fuzzy logic systems / hybrid optimization techniques / Mathematical foundations / MATHEMATICS / General / MATHEMATICS / Probability & Statistics / General
    ISBN:  9780367779313 
    EAN-Code: 
    9780367779313 
    Verlag:  Taylor and Francis 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 234 mm / B 156 mm / D  
    Gewicht:  204 gr 
    Seiten:  136 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Metaheuristic optimization is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation capacity. This is usually applied when two or more objectives are to be optimized simultaneously. This book is presented with two major objectives. Firstly, it features chapters by eminent researchers in the field providing the readers about the current status of the subject. Secondly, algorithm-based optimization or advanced optimization techniques, which are applied to mostly non-engineering problems, are applied to engineering problems. This book will also serve as an aid to both research and industry. Usage of these methodologies would enable the improvement in engineering and manufacturing technology and support an organization in this era of low product life cycle. Features: Covers the application of recent and new algorithms Focuses on the development aspects such as including surrogate modeling, parallelization, game theory, and hybridization Presents the advances of engineering applications for both single-objective and multi-objective optimization problems Offers recent developments from a variety of engineering fields Discusses Optimization using Evolutionary Algorithms and Metaheuristics applications in engineering

      



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