Evolutionary computation with biogeography-based optimization
Evolutionary computation algorithms are employed to minimize functions with large number of variables. Biogeographybased optimization (BBO) is an optimization algorithm that is based on the science of biogeography, which researches the migration patterns of species. These migration paradigms provide...
| Other Authors: | , |
|---|---|
| Format: | eBook |
| Language: | Inglés |
| Published: |
London, [England] :
ISTE
2017.
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| Edition: | 1st ed |
| Series: | Metaheuristics Set ;
8. THEi Wiley ebooks. |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009849107706719 |
Table of Contents:
- The Science of Biogeography
- Biogeography and Biological Optimization
- A Basic BBO Algorithm
- BBO Extensions
- BBO as a Markov Process
- Dynamic System Models of BBO
- Statistical Mechanics Approximations of BBO
- BBO for Combinatorial Optimization
- Constrained BBO
- BBO in Noisy Environments
- Multi-objective BBO
- Hybrid BBO Algorithms
- Appendices. Unconstrained Benchmark Functions
- Constrained Benchmark Functions
- Multi-objective Benchmark Functions.
