A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature

Description

This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works have demonstrated the various self-defense mechanisms (survival strategies) plants use to protect themselves against predatory organisms, such as herbivorous insects. The proposed algorithm is based on the predator–prey mathematical model originally proposed by Lotka and Volterra, consisting of two nonlinear first-order differential equations, which allow the growth of two interacting populations (prey and predator) to be modeled. The proposed meta-heuristic is able to produce excellent results in several sets of benchmark optimization problems. Further, fuzzy logic is used for dynamic parameter adaptation in the algorithm. Front Matter ....Pages i-viii Introduction (Camilo Caraveo, Fevrier Valdez, Oscar Castillo)....Pages 1-4 Theory and Background (Camilo Caraveo, Fevrier Valdez, Oscar Castillo)....Pages 5-7 Self-defense of the Plants (Camilo Caraveo, Fevrier Valdez, Oscar Castillo)....Pages 9-12 Predator-Prey Model (Camilo Caraveo, Fevrier Valdez, Oscar Castillo)....Pages 13-15 Proposed Method (Camilo Caraveo, Fevrier Valdez, Oscar Castillo)....Pages 17-22 Case Studies (Camilo Caraveo, Fevrier Valdez, Oscar Castillo)....Pages 23-52 Conclusions (Camilo Caraveo, Fevrier Valdez, Oscar Castillo)....Pages 53-54 Back Matter ....Pages 55-57