Abstract
In this paper, a novel lightweight version of the Successful-History based Adaptive Differential Evolution (SHADE) is presented as the first step towards a simple, user-friendly, metaheuristic algorithm for global optimization. This simplified algorithm is called liteSHADE and is compared to the original SHADE on the CEC2015 benchmark set in three dimensional settings – 10D, 30D and 50D. The results support the idea, that simplification may lead to a successful and understandable algorithm with competitive or even better performance.
Author supplied keywords
Cite
CITATION STYLE
Viktorin, A., Senkerik, R., Pluhacek, M., Kadavy, T., & Jasek, R. (2020). A lightweight SHADE-based algorithm for global optimization - liteSHADE. In Lecture Notes in Electrical Engineering (Vol. 554, pp. 197–206). Springer Verlag. https://doi.org/10.1007/978-3-030-14907-9_20
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
