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Optimization Using Evolutionary Algorithms and Metaheuristics by Kaushik Kumar, J. Paulo Davim
This book covers developments and advances of algorithm based optimization techniques These techniques were only used for non-engineering problems. This book applies them to engineering problems.
FORMAT
Paperback CONDITION
Brand New Publisher Description
Metaheuristic optimization is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation capacity. This is usually applied when two or more objectives are to be optimized simultaneously. This book is presented with two major objectives. Firstly, it features chapters by eminent researchers in the field providing the readers about the current status of the subject. Secondly, algorithm-based optimization or advanced optimization techniques, which are applied to mostly non-engineering problems, are applied to engineering problems. This book will also serve as an aid to both research and industry. Usage of these methodologies would enable the improvement in engineering and manufacturing technology and support an organization in this era of low product life cycle. Features:
- Covers the application of recent and new algorithms
- Focuses on the development aspects such as including surrogate modeling, parallelization, game theory, and hybridization
- Presents the advances of engineering applications for both single-objective and multi-objective optimization problems
- Offers recent developments from a variety of engineering fields
- Discusses Optimization using Evolutionary Algorithms and Metaheuristics applications in engineering
Table of Contents
Part I: Optimization. 1. Foundations and Principles. 2. Neural Networks. 3. Fuzzy Systems. 4. Evolutionary Computation. 5. Rough Sets. Part II: Applications of Optimization. 6. Mechanical Engineering. 7. Power Control and Optimization. 8. Nanoscience and Nanoengineering. 9. Mining Engineering. 10. Signal Processing. 11. Civil Engineering. 12. Optical Engineering. 13. Bioinformatics and Biomedical Engineering. 14. Ecology and Environmental Engineering.
Details ISBN0367779315 Pages 136 Publisher Taylor & Francis Ltd Year 2021 ISBN-10 0367779315 ISBN-13 9780367779313 Publication Date 2021-03-31 UK Release Date 2021-03-31 Format Paperback Imprint CRC Press Place of Publication London Country of Publication United Kingdom AU Release Date 2021-03-31 NZ Release Date 2021-03-31 Series Science, Technology, and Management Author J. Paulo Davim Subtitle Applications in Engineering Edited by J. Paulo Davim Alternative 9780367260446 DEWEY 620.0015196 Audience Professional & Vocational Country of Origin GB Product Class Description Management & Business: General
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