Mycorrhiza Optimization Algorithm Mycorrhiza Optimization Algorithm

Mycorrhiza Optimization Algorithm

Fevrier Valdez والمزيد
    • ‏39٫99 US$
    • ‏39٫99 US$

وصف الناشر

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.

النوع
كمبيوتر وإنترنت
تاريخ النشر
٢٠٢٣
٣٠ أكتوبر
اللغة
EN
الإنجليزية
عدد الصفحات
٨٦
الناشر
Springer Nature Switzerland
البائع
Springer Nature B.V.
الحجم
١٨٫٢
‫م.ب.‬
New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks
٢٠١٦
Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks
٢٠٢٣
General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm
٢٠٢٠
A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature
٢٠١٨
Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
٢٠١٨