Algorithm Portfolios Advances, Applications, and Challenges
This book covers algorithm portfolios, multi-method schemes that harness optimization algorithms into a joint framework to solve optimization problems. It is expected to be a primary reference point for researchers and doctoral students in relevant domains that seek a quick exposure to the field. Th...
| Main Authors: | , , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2021, 2021
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| Edition: | 1st ed. 2021 |
| Series: | SpringerBriefs in Optimization
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 1. Metaheuristic optimization algorithms
- 2. Algorithm portfolios
- 3. Selection of constituent algorithms
- 4. Allocation of computation resources
- 5. Sequential and parallel models
- 6. Recent applications
- 7. Epilogue
- References