A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature (SpringerBriefs in Computational Intelligence)

by Camilo Caraveo, Fevrier Valdez, and Oscar Castillo

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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.

  • ISBN13 9783030055509
  • Publish Date 14 January 2019
  • Publish Status Active
  • Publish Country CH
  • Imprint Springer Nature Switzerland AG
  • Edition 1st ed. 2019
  • Format Paperback
  • Pages 57
  • Language English