<span>This book offer 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 efficient tool for the solution of complex optimization problems in various field of sci
Meta-heuristic Optimization Techniques: Applications in Engineering
โ Scribed by Anuj Kumar (editor); Sangeeta Pant (editor); Mangey Ram (editor); Om Yadav (editor)
- Publisher
- De Gruyter
- Year
- 2022
- Tongue
- English
- Leaves
- 202
- Series
- De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences; 10
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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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