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- W1585039155 abstract "For a local search algorithm to find a better quality solution it is required to generate and evaluate a sufficiently large number of neighbor candidate solutions at each iteration, demanding quite an amount of CPU time. This paper presents a method of selectively generating only good-looking neighbors, so that the number of neighbors can be kept low for efficient search. In our method, a newly generated candidate solution is probabilistically selected to become a neighbor based on a quality estimation made by a simple heuristic. Experimental results on the problem of load balancing in production scheduling have shown that our neighbor selection method based on probabilistic filtering outperforms other random or greedy selection methods in terms of solution quality given the same amount of CPU time." @default.
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- W1585039155 date "2004-05-17" @default.
- W1585039155 modified "2023-09-23" @default.
- W1585039155 title "Neighborhood selection by probabilistic filtering for load balancing in production scheduling" @default.
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