Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization - Kalyanmoy Deb,Erik D. Goodman,Sukrit Mittal,Dhish Kumar Saxena
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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 over successive generations makes EMâOAs amenable to application of ML for different pursuits. Recognizing the immense potential for ML-based ... Full description
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Description
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 over successive generations makes EMâOAs amenable to application of ML for different pursuits.
More Information
| Author | Kalyanmoy Deb, Erik D. Goodman, Sukrit Mittal, Dhish Kumar Saxena |
|---|---|
| Publisher | Springer Nature Singapore |
| Series | Genetic and Evolutionary Computation |
| Release year | 2024 |
| Cover type | Hardcover |
| EAN | 9789819920952 |