請用此 Handle URI 來引用此文件: http://hdl.handle.net/11455/45364
標題: Application of immune algorithms on solving minimum-cost problem of water distribution network
作者: Chu, C.W.
林明德
Lin, M.D.
Liu, G.F.
Sung, Y.H.
關鍵字: Immune algorithm (IA)
Modified immune algorithm (mIA)
Water
distribution network
Optimization
programming gradient-method
ant colony optimization
optimal-design
distribution-systems
supply networks
genetic algorithms
search
computer
期刊/報告no:: Mathematical and Computer Modelling, Volume 48, Issue 11-12, Page(s) 1888-1900.
摘要: Immune algorithm (IA) is a set of computational systems inspired by the defense process of the biological immune system. This study proposed an optimization procedure based on IA framework to optimize the designs of water distribution networks. A modified IA (mIA) procedure, which employs genetic algorithm (GA) to briefly screen initial antibody repertoires for IA, is also developed. The well-known benchmark instance, New York City Tunnel (NYCT) problem, is utilized as a case study to evaluate the optimization performance of IA and mIA. The least-cost designs of NYCT obtained by IA and mIA are compared with those by GA and fast messy GA previously published in the literature. The results of comparison reveal that IA and mIA are able to find the optimal solutions of NYCT with higher computational efficiency (less number of evaluations) than GA and fmGA. Notable performance enhancement is observed in mIA, indicating that the combination of GA can significantly improve the optimization performance of IA. (C) 2008 Elsevier Ltd. All rights reserved.
URI: http://hdl.handle.net/11455/45364
ISSN: 0895-7177
文章連結: http://dx.doi.org/10.1016/j.mcm.2008.02.008
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