Mycorrhiza Optimization Algorithm

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Geliefert zwischen Di., 07.04.2026 und Mi., 08.04.2026

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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.

Presents two new optimization algorithms inspired by plant roots and the Mycorrhiza Network (MN) Enables you to develop innovative solutions that improve efficiency, reduce costs, and improve performance Provides the Mycorrhiza Optimization Algorithm

Inhalt

Introduction to the Mycorrhiza Optimization Algorithm.- Theory for the Mycorrhiza Optimization Algorithm.- Background for the Mycorrhiza Algorithm.- Problem Definition.- CMOA Continuous Mycorrhiza Optimization Algorithm.- DMOA Discrete Mycorrhiza Optimization Algorithm.- Conclusions of the Mycorrhiza Optimization Algorithm.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031473685
    • Anzahl Seiten 78
    • Lesemotiv Verstehen
    • Genre Technology
    • Sprache Englisch
    • Herausgeber Springer
    • Untertitel SpringerBriefs in Applied Sciences and Technology - SpringerBriefs in Computatio
    • Größe H4mm x B155mm x T235mm
    • Jahr 2023
    • EAN 9783031473685
    • Format Kartonierter Einband
    • ISBN 978-3-031-47368-5
    • Titel Mycorrhiza Optimization Algorithm
    • Autor Fevrier Valdez , Hector Carreon-Ortiz , Oscar Castillo

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