Kumar A.Meta-heuristic Optimization Techniques..Engineering 2022

Textbook in PDF format

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