Bio-inspired Optimization Metaheuristic Algorithm Based on the Self-defense of the Plants

In this work a new method of bio-inspired optimization based on the self-defense mechanism of plants applied to mathematical functions is presented. Habitats on the planet have gone through changes, so plants have had to adapt to these changes and adopt new techniques to defend from natural predators (herbivores). There are many works in the literature have shown that plants have mechanisms of self-defense to protect themselves from predators. When the plants detect the presence of invading organisms this triggers a series of chemical reactions that are released to air and attract natural predators of the invading organism (Bennett and Wallsgrove New Phytol 127(4):617–63, 1994 [1]; Melin et al Expert Syst Appl 40(8):3196–3206, 2013 [10]; Neyoy et al Recent Advances on Hybrid Intelligent Systems, 2013 [11]). For the development of this algorithm we consider as a main idea the predator prey model of Lotka and Volterra.