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

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

autor:
Camilo Caraveo; Fevrier Valdez; Oscar Castillo
 
editor:
Springer International Publishing
 
edição:
1
 
ano de publicação:
2019
 
idioma:
Inglês
 
ISBN:
9783030055516
 
nº de páginas:
62
 
formato:
ileio (leitura online e APP)
 

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.

Informação indisponível.

Pessoal
Tipo de licença Permissão de impressão
Acesso Perpétuo ilimitado


Leitura online: um utilizador por sessão (sem simultaneidade)
Leitura offline (com a APP): máximo de 2 dispositivos em simultâneo

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