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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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1
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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Description
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
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.