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Autor(en): 
  • Oscar Castillo
  • Fevrier Valdez
  • Hector Carreon-Ortiz
  • Mycorrhiza Optimization Algorithm 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Oktober 2023  
    Genre:  Naturwissensch., Medizin, Technik 
     
    ComputationalIntelligence / ContinuousMycorrhizaOptimizationAlgorithm / DiscreteMycorrhizaOptimizationAlgorithm / Künstliche Intelligenz (KI) / MycorrhizaNetwork / MycorrhizaOptimizationAlgorithm / Plantroots
    ISBN:  9783031473685 
    EAN-Code: 
    9783031473685 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 5 mm 
    Gewicht:  165 gr 
    Seiten:  88 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book provides two new optimization algorithms to address real optimization problems. Optimization is a fundamental concept in engineering and science, and its applications are needed in many fields. From designing products and systems to developing algorithms and models, optimization plays a critical role in achieving efficient and effective solutions to complex problems. Optimization algorithms inspired by nature have proven effective in solving a wide range of problems, including those in engineering, finance, and machine learning. These algorithms are often used when traditional optimization techniques are impractical due to the size or complexity of the problem. In this book, we are presenting two new optimization algorithms inspired by plant roots and the Mycorrhiza Network. The first algorithm is called the Continuous Mycorrhiza Optimization Algorithm (CMOA), which was proposed based on the model of the Continuous Lotka-Volterra System Equations. The second algorithm is called the Discrete Mycorrhiza Optimization Algorithm (DMOA), which design based on the model of Discrete Lotka-Volterra System Equations. By mastering the proposed algorithms, the readers able to develop innovative solutions that improve efficiency, reduce costs, and improve performance in the corresponding field of work.

      



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