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
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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