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Erschienen in:
2015 | OriginalPaper | Buchkapitel
A Simple and Accurate Global Optimizer for Continuous Spaces Optimization
verfasst von : Zhenyu Meng, Jeng-Shyang Pan
Erschienen in: Genetic and Evolutionary Computing
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Ebb-Tide-Fish Algorithm (ETFA) is a simple but powerful optimization algorithm over continuous search spaces, and the inspiration comes from the foraging behavior of the fish in ebb tide. This kind of fish is a fascinating creature, and it often draws my attention when I walk on the beach. When I studied and got an idea of improving some optimization algorithms recently, the kind of fish flashes in my mind. The algorithm mainly focuses on the diversity of locations of the fish rather than what velocity it is when the fish swim from the current location to a better one. The algorithm gives a formulation of the foraging behavior of the fish, and the detailed model is also given in the paper. The performance of ETFA on a testbed of four functions is compared with several famous published methods. The final results show that ETFA has a faster convergence rate with an excellent accuracy.