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A New Bio-Inspired Optimization Algorithm Based on the Self-Defense Mechanism of Plants in Nature. SpringerBriefs in Computational Intelligence

A New Bio-Inspired Optimization Algorithm Based on the Self-Defense Mechanism of Plants in Nature. SpringerBriefs in Computational Intelligence - SpringerBriefs in Applied Sciences and Technology

Paperback (14 Jan 2019)

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Publisher's Synopsis

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.

Book information

ISBN: 9783030055509
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
Language: English
Number of pages: 57
Weight: 125g
Height: 235mm
Width: 155mm
Spine width: 4mm