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Meta-heuristic Optimization Techniques
Applications in Engineering
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Edited by:
Anuj Kumar
Language:
English
Published/Copyright:
2022
About this book
This book offers a thorough overview of the most popular and researched meta-heuristic optimization techniques and nature-inspired algorithms. Their wide applicability makes them a hot research topic and an effi cient tool for the solution of complex optimization problems in various fi elds of sciences, engineering, and in numerous industries.
Author / Editor information
A. Kumar, S. Pant, Uni. of Petroleum & Energy, Dedrahun, India; M.Ram, Graphic Era dtb Uni., India; O.Yadav, Uni. of North Dakota, USA.
Topics
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Frontmatter
I -
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Preface
V -
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Acknowledgments
VII -
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Contents
IX -
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Nature-inspired metaheuristic algorithms for optimization
1 -
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An optimization approach for highway alignment using metaheuristic algorithms
11 -
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A method for solving bi-objective transportation problem under fuzzy environment
37 -
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Application of particle swarm optimization technique in an interval-valued EPQ model
51 -
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Optimization techniques used for designing economic electrical power distribution
79 -
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Meta-heuristic optimization techniques in navigation constellation design
93 -
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Correlation and heuristic analysis of polymer-modified concrete subjected to alternate wetting and drying
107 -
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q-Rung orthopair fuzzy entropy measure and its application in multi-attribute decision-making
117 -
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A fuzzy multi-criteria decision-making approach for crime linkage utilizing resemblance function under hesitant fuzzy environment
129 -
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Integrating novel-modified TOPSIS with central composite design to model and optimize O2 delignification process in pulp and paper industry
145 -
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Deep learning for satellite-based data analysis
173 -
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Editors’ Biography
189 -
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Index
191
Publishing information
Pages and Images/Illustrations in book
eBook published on:
January 19, 2022
eBook ISBN:
9783110716214
Hardcover published on:
January 31, 2022
Hardcover ISBN:
9783110716177
Pages and Images/Illustrations in book
Front matter:
10
Main content:
192
Illustrations:
13
Coloured Illustrations:
52
Tables:
34
Audience(s) for this book
Researchers, Postgraduate Students, Professionals.
Safety & product resources
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Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com
