A Novel Pseudoderivative-Based Mutation Operator for Real-Coded Adaptive Genetic Algorithms¶
Kanwal, M. S., Ramesh, A. S., & Huang, L. A. (2013). A Novel Pseudoderivative-Based Mutation Operator for Real-Coded Adaptive Genetic Algorithms. F1000Research.
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Mechanisms¶
- Plateau-Triggered Rate Boost
- Extra variation was spent precisely and only when the evidence — a sustained flat stretch — said the search was trapped, and withdrawn the moment it had done its job.
This sourceKanwal, Ramesh, and Huang increase mutation as the best fitness remains stagnant and reset the boost when a new best fitness appears.
- Extra variation was spent precisely and only when the evidence — a sustained flat stretch — said the search was trapped, and withdrawn the moment it had done its job.
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