A Variable Neighborhood Search for Solving the Linear Ordering Problem
نویسندگان
چکیده
A Systematic change of Neighborhood within a possibly randomized local search algorithm yields a simple and effective metaheuristic for combinatorial and global optimization. In this paper we present a Variable Neighborhood Search implementation designed to find high quality solutions for the NP-hard Linear Ordering Problem, which has a significant number of application in practice, such triangulation of input-output matrices, archeological seriation, minimizing total weighted completion time in onemachine scheduling, and aggregation of individual preferences.We perform our implementation on the set of 49 instances in LOLIB, in order to compare our results with the Tabu Search of Laguna, et al.
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