Meta-heuristic Optimization Techniques: Applications in Engineering

Published by De Gruyter 2022

Meta-heuristic Optimization Techniques

Applications in Engineering

Edited by: Anuj Kumar , Sangeeta Pant , Mangey Ram and Om Yadav

Volume 10 in the series De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences

https://doi.org/10.1515/9783110716214

Overview
Contents

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

Frontmatter Publicly Available Download PDF	I
Preface Publicly Available Download PDF	V
Acknowledgments Publicly Available Download PDF	VII
Contents Publicly Available Download PDF	IX
Nature-inspired metaheuristic algorithms for optimization Nitin Uniyal, Sangeeta Pant, Anuj Kumar and Prashant Pant Requires Authentication Unlicensed Licensed Download PDF	1
An optimization approach for highway alignment using metaheuristic algorithms Sina Asherlou, Aref Yelghi, Erhan Burak Pancar and Şeref Oruç Requires Authentication Unlicensed Licensed Download PDF	11
A method for solving bi-objective transportation problem under fuzzy environment Sukhveer Singh and Sandeep Singh Requires Authentication Unlicensed Licensed Download PDF	37
Application of particle swarm optimization technique in an interval-valued EPQ model Subhendu Ruidas, Mijanur Rahaman Seikh and Prasun Kumar Nayak Requires Authentication Unlicensed Licensed Download PDF	51
Optimization techniques used for designing economic electrical power distribution Nagendra Singh and Yogendra Kumar Requires Authentication Unlicensed Licensed Download PDF	79
Meta-heuristic optimization techniques in navigation constellation design Bidyut B Gogoi, Anita Kumari, S. Nirmala and A Kartik Requires Authentication Unlicensed Licensed Download PDF	93
Correlation and heuristic analysis of polymer-modified concrete subjected to alternate wetting and drying Ch. Swetha Devi, V. Ranga Rao and Pushpalatha Sarla Requires Authentication Unlicensed Licensed Download PDF	107
q-Rung orthopair fuzzy entropy measure and its application in multi-attribute decision-making Kamal Kumar and Amit Sharma Requires Authentication Unlicensed Licensed Download PDF	117
A fuzzy multi-criteria decision-making approach for crime linkage utilizing resemblance function under hesitant fuzzy environment Soumendra Goala, Palash Dutta and Bornali Saikia Requires Authentication Unlicensed Licensed Download PDF	129
Integrating novel-modified TOPSIS with central composite design to model and optimize O₂ delignification process in pulp and paper industry Kumar Anupam, Pankaj Kumar Goley and Anil Yadav Requires Authentication Unlicensed Licensed Download PDF	145
Deep learning for satellite-based data analysis T. K. Priyanka, Manoj K. Singh and Anuj Kumar Requires Authentication Unlicensed Licensed Download PDF	173
Editors’ Biography Requires Authentication Unlicensed Licensed Download PDF	189
Index Requires Authentication Unlicensed Licensed Download PDF	191

(Deutsch)

Language: English
Publisher: De Gruyter
Audience: Researchers, Postgraduate Students, Professionals.
Pages
- Front matter: 10
- Main content: 192
Illustrations
- Illustrations: 13
- Coloured Illustrations: 52
- Tables: 34
Keywords: Algorithmen; Metaheuristik; Künstliche Intelligenz; Kombinatorik

eBook

Published: January 19, 2022
ISBN: 9783110716214

Hardcover

Published: January 31, 2022
ISBN: 9783110716177