Projeto de sistemas de engenharia usando o Whale Optimization Algorithm

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Universidade Federal de Goiás


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.



Otimização, Sistemas bio-inspirados, Whale Optimization Algorithm, Problemas de sistemas de engenharia, Optimization, Bio-inspired systems, Whale Optimization Algorithm, Engineering systems design


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.