Fine-Tuning Meta-Heuristic Algorithm for Global Optimization
This paper proposes a novel meta-heuristic optimization algorithm called the fine-tuning meta-heuristic algorithm (FTMA) for solving global optimization problems. In this algorithm, the solutions are fine-tuned using the fundamental steps in meta-heuristic optimization, namely, exploration, exploita...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-09-01
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| Series: | Processes |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-9717/7/10/657 |