Kumar Anuj, Pant S., Ram M., Yadav O.P. (eds.) Meta-heuristic Optimization Techniques: Applications in Engineering

Walter de Gruyter, 2022. — 196 p. — (De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences). — ISBN 978-3-11-071617-7.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.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