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Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
In this book, a methodology for parameter adaptation in meta-heuristic op-timization methods is proposed. This methodology is based on using met-rics about the population of the meta-heuristic methods, to decide through a fuzzy inference system the best parameter values that were carefully se-lected...
| Main Authors: | , , , |
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| Corporate Author: | |
| Format: | e-Book |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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| Edition: | 1st ed. 2018. |
| Series: | SpringerBriefs in Computational Intelligence,
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| Subjects: | |
| Online Access: | Full-text access View in OPAC |
Table of Contents:
- Introduction
- Theory and Background
- Problems Statement
- Methodology
- Simulation Results
- Statistical Analysis and Comparison of Results.