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Optimization Using Evolutionary Algorithms and Metaheuristics : Applications in Engineering (Science, Technology, and Management)

By: J. Paulo Davim (Edited by) , Kaushik Kumar (Edited by)

Manufacture on Demand

Ksh 12,400.00

Format: Paperback or Softback

ISBN-10: 0367779315

ISBN-13: 9780367779313

Collection / Series: Science, Technology, and Management

Collection Type: Publisher collection

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Mar 31st, 2021

Publication Status: Active

Product extent: 136 Pages

Weight: 204.00 grams

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  • Description

  • Reviews

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.

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






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