Advanced Optimization by Nature-Inspired Algorithms Advanced Optimization by Nature-Inspired Algorithms

Advanced Optimization by Nature-Inspired Algorithms

Revised Selected Papers of the 10th Annual Meeting of the Bulgarian Section of SIAM December 21-22, 2015, Sofia, Bulgaria

    • ‏79٫99 US$
    • ‏79٫99 US$

وصف الناشر

This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.

النوع
كمبيوتر وإنترنت
تاريخ النشر
٢٠١٧
٣٠ يونيو
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer Nature Singapore
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Computational Intelligence for Water and Environmental Sciences Computational Intelligence for Water and Environmental Sciences
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Climate Change in Sustainable Water Resources Management Climate Change in Sustainable Water Resources Management
٢٠٢٢
Essential Tools for Water Resources Analysis, Planning, and Management Essential Tools for Water Resources Analysis, Planning, and Management
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Economical, Political, and Social Issues in Water Resources Economical, Political, and Social Issues in Water Resources
٢٠٢١
Meta-heuristic and Evolutionary Algorithms for Engineering Optimization Meta-heuristic and Evolutionary Algorithms for Engineering Optimization
٢٠١٧