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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Table of Contents:
- 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