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TitleA New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature [electronic resource] / by Camilo Caraveo, Fevrier Valdez, Oscar Castillo
ImprintCham : Springer International Publishing : Imprint: Springer, 2019
Connect tohttps://doi.org/10.1007/978-3-030-05551-6
Descript VIII, 57 p. online resource

SUMMARY

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


CONTENT

Introduction -- Theory and Background -- Self-defense of the Plants -- Predator-prey mode -- Proposed Method -- Case studies -- Conclusions


Engineering Artificial intelligence Botany Mathematical optimization Computational Intelligence. http://scigraph.springernature.com/things/product-market-codes/T11014 Artificial Intelligence. http://scigraph.springernature.com/things/product-market-codes/I21000 Plant Sciences. http://scigraph.springernature.com/things/product-market-codes/L24000 Optimization. http://scigraph.springernature.com/things/product-market-codes/M26008



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