Approximating the Pareto curve with local search for the bicriteria TSP(1,2) problem

被引:32
作者
Angel, E [1 ]
Bampis, E [1 ]
Gourvés, L [1 ]
机构
[1] Univ Evry Val Essonne, LaMI, CNRS, UMR 8042, F-91000 Evry, France
关键词
local search; multicriteria TSP; approximation algorithms;
D O I
10.1016/S0304-3975(03)00376-1
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Local search has been widely used in combinatorial optimization (Local Search in Combinatorial Optimization, Wiley, New York, 1997), however, in the case of multicriteria optimization almost no results are known concerning the ability of local search algorithms to generate "good" solutions with performance guarantee. In this paper, we introduce such an approach for the classical traveling salesman problem (TSP) problem (Proc. STOC'00, 2000, pp. 126-133). We show that it is possible to get in linear time, a 3/2-approximate Pareto curve using an original local search procedure based on the 2-opt neighborhood, for the bicriteria TSP(1,2) problem where every edge is associated to a couple of distances which are either I or 2 (Math. Oper. Res. IS (1) (1993) 1). (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:135 / 146
页数:12
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