標題: | A genetic algorithm for the maximum edge-disjoint paths problem |
作者: | Hsu, Chia-Chun Cho, Hsun-Jung 運輸與物流管理系 註:原交通所+運管所 Department of Transportation and Logistics Management |
公開日期: | 19-一月-2015 |
摘要: | Optimization problems concerning edge-disjoint paths have attracted considerable attention for decades. These problems have a lot of applications in the areas of call admission control, real-time communication, VLSI (Very-large-scale integration) layout and reconfiguration, packing, etc. The maximum edge-disjoint paths problem (MEDP) seems to lie in the heart of these problems. Given an undirected graph G and a set of I connection requests, each request consists of a pair of nodes, MEDP is an NP-hard problem which determines the maximum number of accepted requests that can be routed by mutually edge-disjoint (s(i),t(i)) paths. We propose a genetic algorithm (GA) to solve the problem. In comparison to the multi-start simple greedy algorithm (MSGA) and the ant colony optimization method (ACO), the proposed GA method performs better in most of the instances in terms of solution quality and time. (C) 2014 Elsevier B.V. All rights reserved. |
URI: | http://dx.doi.org/10.1016/j.neucom.2012.10.046 http://hdl.handle.net/11536/25301 |
ISSN: | 0925-2312 |
DOI: | 10.1016/j.neucom.2012.10.046 |
期刊: | NEUROCOMPUTING |
Volume: | 148 |
Issue: | |
起始頁: | 17 |
結束頁: | 22 |
顯示於類別: | 期刊論文 |