Evolutionary Optimization of Material Removal Processes

材料去除过程的进化优化

电子技术

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1204.00
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出  版 社
出版时间
2022年12月23日
装      帧
精装
ISBN
9781032136516
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页      码
252
开      本
234 x 156 mm (6.14 x 9.21
语      种
英文
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图书简介
The text comprehensively focuses in detail on the concepts, implementation, and application of evolutionary algorithms for predicting, modeling, and optimizing the various material removal processes from its origin to the current advancements. This is one-of-a-kind books which encapsulates all the features related with the application and implementation of evolutionary algorithms for the purpose of predicting and optimizing the process characteristics of different machining methods and its allied processes which will provide comprehensive information. This book broadly explains the concepts of employing evolutionary algorithm-based optimization in broad domain of various material removal processes. Therefore, the book will enable the prospective readers to take full benefits of the recent findings and advancements in the field of traditional, advanced, micro, hybrid machining, etc. Moreover, the simplicity of writing will keep the readers engaged throughout and make it easier for them to understand the advanced topics.The book- •;Offers step-by-step guide to implement evolutionary algorithms for the overall optimization of conventional and contemporary machining processes•;Provides in-depth analysis of various material removal processes through evolutionary optimization•;Details an overview of different evolutionary optimization techniques•;Explores advanced processing of various engineering materials-based case studies;;;;;;;;The text presents a step-by-step guide to implement evolutionary algorithms for the overall optimization of machining processes. It further discusses different nature-inspired algorithms-based modeling, prediction, and modeling of machining responses in attempting advanced machining of the latest materials and related engineering problems along with case studies and practical examples. It will be an ideal reference text for graduate student
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