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Télécharger le livre : Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization
Kalyanmoy Deb , Erik D. Goodman , Sukrit Mittal , Dhish Kumar Saxena
Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization
This book focuses on machine learning (ML) assisted evolutionary multi- and many-objective optimization (EMâO). EMâO algorithms, namely EMâOAs, iteratively evolve a set of solutions towards a good Pareto Front approximation. The availability of multiple solution sets...
Editeur : Springer
Parution : 2024-05-17
Collection : Genetic and Evolutionary Computation
Format(s) : PDF, ePub
168,79 €
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Télécharger le livre : Advances in Multidisciplinary Analysis and Optimization
Indira Narayanaswamy , Palaniappan Ramu , Raviprakash R. Salagame , Dhish Kumar Saxena
Advances in Multidisciplinary Analysis and Optimization
This volume contains select papers presented during the 2nd National Conference on Multidisciplinary Analysis and Optimization. It discusses new developments at the core of optimization methods and its application in multiple applications. The papers showcase...
Editeur : Springer
Parution : 2020-08-10

Format(s) : PDF, ePub
147,69 €
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