Abstract
A new optimization metaheuristic algorithm based on the mechanisms of self-defense of plants in nature in this work is presented. The proposed optimization algorithm is applied to optimize mathematical functions of CEC 2015, this suite of functions are proposed as a challenge for the area of algorithm bio-inspired, with the purpose of creating a competition of performance and stability between algorithms of search and optimization. We propose a new meta-heuristic inspired in the coping techniques of plants in nature, as there techniques are developed by plants as a defense from predators. The proposed algorithm is based on the Lotka and Volterra model better known as the prey predator model, this model consists of two non-linear equations and is used to model the growth of two populations that competing with each other.
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Caraveo, C., Valdez, F., Castillo, O. (2018). A New Optimization Metaheuristic Based on the Self-defense Techniques of Natural Plants Applied to the CEC 2015 Benchmark Functions. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 641. Springer, Cham. https://doi.org/10.1007/978-3-319-66830-7_34
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