Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/100854
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | Distribution network reconfiguration based on parallel genetic membrane computing |
Author: | Lei, X. Wu, H. Shi, Y. Shi, P. |
Citation: | Journal of Intelligent and Fuzzy Systems, 2015; 29(5):2287-2298 |
Publisher: | IOS Press |
Issue Date: | 2015 |
ISSN: | 1064-1246 1875-8967 |
Statement of Responsibility: | Xia Lei, Hongjian Wu, Yan Shi and Peng Shi |
Abstract: | As a new branch of natural computing, membrane computing (MC) has become a hot topic. Based on the combination of nested structure membrane optimization method, genetic algorithm (GA) and the distributed computing method, an efficient parallel genetic membrane computing (PGMC) is proposed. Some rules are proposed to improve the computational performance of PGMC such as communication and transportation rules between homo-core membranes and hetero-core membranes, elementary membrane crossover and division rules, mutation and dissolving rules. An application of PGMC to distribution network reconfiguration is presented. According to the features of radial distribution network operation, object generation of minimum loop and equal selection of crossover probability are used to further improve the computational efficiency. Finally, a typical example of 33-nodes net is simulated by comparing PGMC with general GA and genetic membrane computing (GMC). The results demonstrate superiority of PGMC on convergence, stability, global searching ability and so on. |
Keywords: | Membrane computing; distributed computing method; parallel genetic membrane computing; network reconfiguration; minimum loop |
Rights: | © 2015 – IOS Press and the authors. All rights reserved |
DOI: | 10.3233/IFS-151704 |
Grant ID: | http://purl.org/au-research/grants/arc/DP140102180 http://purl.org/au-research/grants/arc/LP140100471 |
Published version: | http://dx.doi.org/10.3233/ifs-151704 |
Appears in Collections: | Aurora harvest 7 Electrical and Electronic Engineering publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.