
Meta-heuristic Optimization Techniques
Description
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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.
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Content
- Intro
- 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 O⊂&2&/sub& delignification process in pulp and paper industry
- Deep learning for satellite-based data analysis
- Editors' Biography
- Index
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