Nature-Inspired Optimizers Nature-Inspired Optimizers

Nature-Inspired Optimizers

Theories, Literature Reviews and Applications

Seyedali Mirjalili والمزيد
    • ‏84٫99 US$
    • ‏84٫99 US$

وصف الناشر

This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others.  All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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١ فبراير
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Multi-Objective Optimization using Artificial Intelligence Techniques Multi-Objective Optimization using Artificial Intelligence Techniques
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Optimization Algorithms in Machine Learning Optimization Algorithms in Machine Learning
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Multi-objective Optimization Techniques Multi-objective Optimization Techniques
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Digital Transformation in the Construction Industry Digital Transformation in the Construction Industry
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Future Research Directions in Computational Intelligence Future Research Directions in Computational Intelligence
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Handbook of Moth-Flame Optimization Algorithm Handbook of Moth-Flame Optimization Algorithm
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