Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline

Article Types

Countries / Regions

Search Results (1)

Search Parameters:
Keywords = compact differential evolution (cDE)

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
22 pages, 11157 KB  
Article
Parallel Compact Differential Evolution for Optimization Applied to Image Segmentation
by Xiao Sui, Shu-Chuan Chu, Jeng-Shyang Pan and Hao Luo
Appl. Sci. 2020, 10(6), 2195; https://doi.org/10.3390/app10062195 - 24 Mar 2020
Cited by 30 | Viewed by 3774
Abstract
A parallel compact Differential Evolution (pcDE) algorithm is proposed in this paper. The population is separated into multiple groups and the individual is run by using the method of compact Differential Evolution. The communication is implemented after predefined iterations. Two communication strategies are [...] Read more.
A parallel compact Differential Evolution (pcDE) algorithm is proposed in this paper. The population is separated into multiple groups and the individual is run by using the method of compact Differential Evolution. The communication is implemented after predefined iterations. Two communication strategies are proposed in this paper. The first one is to replace the local optimal solution by global optimal solution in all groups, which is called optimal elite strategy (oe); the second one is to replace the local optimal solution by mean value of the local optimal solution in all groups, which is called mean elite strategy (me). Considering that the pcDE algorithm does not need to store a large number of solutions, the algorithm can adapt to the environment with weak computing power. In order to prove the feasibility of pcDE, several groups of comparative experiments are carried out. Simulation results based on the 25 test functions demonstrate the efficacy of the proposed two communication strategies for the pcDE. Finally, the proposed pcDE is applied to image segmentation and experimental results also demonstrate the superior quality of the pcDE compared with some existing methods. Full article
(This article belongs to the Section Computing and Artificial Intelligence)
Show Figures

Figure 1

Back to TopTop