Data-Driven Evolutionary Optimization : Integrating Evolutionary Computation, Machine Learning and Data Science /
Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning, and metaheuristics. Written by world-leading academic researchers who are extremely experienced in industrial applications, this self-contained book is the first...
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | Book |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2021
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| Edition: | 1st ed. 2021 |
| Series: | Studies in Computational Intelligence,
975 |
| Subjects: |
Table of Contents:
- Introduction to Optimization
- Classical Optimization Algorithms
- Evolutionary and Swarm Optimization
- Introduction to Machine Learning
- Data-Driven Surrogate-Assisted Evolutionary Optimization
- Multi-Surrogate-Assisted Single-Objective Optimization
- Surrogate-Assisted Multi-Objective Evolutionary Optimization