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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
