Using hybrid metaheuristics for the one-way and two-way network design problem

被引:36
作者
Drezner, Z [1 ]
Salhi, S
机构
[1] Calif State Univ Fullerton, Coll Business & Econ, Fullerton, CA 92384 USA
[2] Univ Birmingham, Sch Math & Stat, Management Math Grp, Birmingham B15 2TT, W Midlands, England
关键词
D O I
10.1002/nav.10026
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
A network with traffic between nodes is known. The links of the network can be designed either as two-way links or as one-way links in either direction. The problem is to find the best configuration of the network which minimizes total travel time for all users. Branch and bound optimal algorithms are practical only for small networks (up to 15 nodes). Effective simulated annealing and genetic algorithms are proposed for the solution of larger problems. Both the simulated annealing and the genetic algorithms propose innovative approaches. These innovative ideas can be used in the implementation of these heuristic algorithms for other problems as well. Additional tabu search iterations are applied on the best results obtained by these two procedures. The special genetic algorithm was found to be the best for solving a set of test problems. (C) 2002 Wiley Periodicals, Inc.
引用
收藏
页码:449 / 463
页数:15
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