Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization EPUB
by Dhish Kumar Saxena, Sukrit Mittal, Kalyanmoy Deb, Erik D. Goodman
Part of the Genetic and Evolutionary Computation series
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This book focuses on machine learning (ML) assisted evolutionary multi- and many-objective optimization (EMaO). EMaO algorithms, namely EMaOAs, iteratively evolve a set of solutions towards a good Pareto Front approximation. The availability of multiple solution sets over successive generations makes EMaOAs amenable to application of ML for different pursuits.
To aid readers, the book includes working codes for the developed algorithms. This book will not only strengthen this emergent theme but also encourage ML researchers to develop more efficient and scalable methods that cater to the requirements of the EMaOA domain. It serves as an inspiration for further research and applications at the synergistic intersection of EMaOA and ML domains.
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- Format:EPUB
- Publisher:Springer Nature Singapore
- Publication Date:17/05/2024
- Category:
- ISBN:9789819920969
Information
-
Download Now
- Format:EPUB
- Publisher:Springer Nature Singapore
- Publication Date:17/05/2024
- Category:
- ISBN:9789819920969