Projeto de sistemas de engenharia usando o Whale Optimization Algorithm
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Data
2018-12-10
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Universidade Federal de Goiás
Resumo
The formulation and solution of optimization problems configures a research line of great
applicability, with emphasis in engineering systems design. Traditionally, the solution of these
problems can be found by considering classical and metaheuristics methods. As an example
of this last class we can cite a recent bio-inspired technique, the Whale Optimization Algorithm
(WOA). This evolutive strategy consists in generating candidates to solve optimization
problems through simulation of movements of humpback whales in search for food. However,
this recent optimization technique requires new studies in order to improve its performance in
problems more complex. Therefore, the present contribution aims to propose the Adaptive
Whale Optimization Algorithm (AWOA), that consists in updating the internal parameters of
WOA considering the concept of convergence rate and a cognitive social operator as alternative
to generate potential candidates. The methodology is applied to mathematical problems and
to engineering systems design. The results obtained demonstrate that the AWOA presented
good performance in relation to WOA, but without increasing considerably the computational
cost when compared to other evolutionary strategies.
Descrição
Palavras-chave
Otimização, Sistemas bio-inspirados, Whale Optimization Algorithm, Problemas de sistemas de engenharia, Optimization, Bio-inspired systems, Whale Optimization Algorithm, Engineering systems design
Citação
MUNDIM FILHO, O. G. Projeto de sistemas de engenharia usando o Whale Optimization Algorithm. 2018. 94 f. Dissertação (Mestrado em Modelagem e Otimização) - Universidade Federal de Goiás, Catalão, 2018.