Meta-heuristic Optimization Techniques : : Applications in Engineering / / ed. by Mangey Ram, Anuj Kumar, Sangeeta Pant, Om Yadav.
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 scien...
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Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1 |
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MitwirkendeR: | |
HerausgeberIn: | |
Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2022] ©2022 |
Year of Publication: | 2022 |
Language: | English |
Series: | De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences ,
10 |
Online Access: | |
Physical Description: | 1 online resource (X, 192 p.) |
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Other title: | Frontmatter -- Preface -- Acknowledgments -- Contents -- Nature-inspired metaheuristic algorithms for optimization -- An optimization approach for highway alignment using metaheuristic algorithms -- A method for solving bi-objective transportation problem under fuzzy environment -- Application of particle swarm optimization technique in an interval-valued EPQ model -- Optimization techniques used for designing economic electrical power distribution -- Meta-heuristic optimization techniques in navigation constellation design -- Correlation and heuristic analysis of polymer-modified concrete subjected to alternate wetting and drying -- q-Rung orthopair fuzzy entropy measure and its application in multi-attribute decision-making -- A fuzzy multi-criteria decision-making approach for crime linkage utilizing resemblance function under hesitant fuzzy environment -- Integrating novel-modified TOPSIS with central composite design to model and optimize O2 delignification process in pulp and paper industry -- Deep learning for satellite-based data analysis -- Editors’ Biography -- Index |
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Summary: | 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. |
Format: | Mode of access: Internet via World Wide Web. |
ISBN: | 9783110716214 9783110766820 9783110993899 9783110994810 9783110994223 9783110994193 |
ISSN: | 2626-5427 ; |
DOI: | 10.1515/9783110716214 |
Access: | restricted access |
Hierarchical level: | Monograph |
Statement of Responsibility: | ed. by Mangey Ram, Anuj Kumar, Sangeeta Pant, Om Yadav. |