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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.
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