Improved combinatorial approximation algorithms for the k-level facility location problem

被引:62
作者
Ageev, A [1 ]
Ye, YY
Zhang, JW
机构
[1] Sobolev Inst Math, Novosibirsk, Russia
[2] Stanford Univ, Dept Management Sci & Engn, Stanford, CA 94305 USA
关键词
facility location; approximation algorithm; performance guarantee; polynomial-time reduction;
D O I
10.1137/S0895480102417215
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper we present improved combinatorial approximation algorithms for the k-level facility location problem. First, by modifying the path reduction developed in [ A. A. Ageev, Oper. Res. Lett., 30 ( 2002), pp. 327 - 332], we obtain a combinatorial algorithm with a performance factor of 3.27 for any k greater than or equal to 2, thus improving the previous bound of 4.56 achieved by a combinatorial algorithm. Then we develop another combinatorial algorithm that has a better performance guarantee and uses the first algorithm as a subroutine. The latter algorithm can be recursively implemented and achieves a guarantee factor h( k), where h( k) is strictly less than 3.27 for any k and tends to 3.27 as k goes to infinity. The values of h( k) can be easily computed with an arbitrary accuracy: h( 2) approximate to 2.4211, h( 3) approximate to 2.8446, h(4) approximate to 3.0565, h(5) approximate to 3.1678, and so on. Thus, for the cases of k = 2 and k = 3 the second combinatorial algorithm ensures an approximation factor substantially better than 3, which is currently the best approximation ratio for the k-level problem provided by the noncombinatorial algorithm due to Aardal, Chudak, and Shmoys [ Inform. Process. Lett., 72 ( 1999), pp. 161 - 167].
引用
收藏
页码:207 / 217
页数:11
相关论文
共 13 条
[11]  
Mahdian M, 2002, LECT NOTES COMPUT SC, V2462, P229
[12]   Cost-Distance: Two metric network design [J].
Meyerson, A ;
Munagala, K ;
Plotkin, S .
41ST ANNUAL SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE, PROCEEDINGS, 2000, :624-630
[13]  
SHMOYS DB, 2000, LECT NOTES COMPUTER, V1913, P27