Meta-heuristic Optimization Techniques : Applications in Engineering /
ed. by Mangey Ram, Anuj Kumar, Sangeeta Pant, Om Yadav.
- 1 online resource (X, 192 p.)
- De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences , 10 2626-5427 ; .
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
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.