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- W2139869884 abstract "Abstract The capacitated clustering problem (CCP) is the problem in which a given set of weighted objects is to be partitioned into clusters so that the total weight of objects in each cluster is less than a given value (cluster ‘capacity’). The objective is to minimize the total scatter of objects from the ‘centre’ of the cluster to which they have been allocated. A simple constructive heuristic, a λ-interchange generation mechanism, a hybrid simulated annealing (SA) and tabu search (TS) algorithm which has computationally desirable features using a new non-monotonic cooling schedule, are developed. A classification of the existing SA cooling schedules is presented. The effects on the final solution quality of the initial solutions, the cooling schedule parameters and the neighbourhood search strategies are investigated. Computational results on randomly generated problems with size ranging from 50 to 100 customers indicate that the hybrid SA/TS algorithm out-performs previous simulated annealing algorithms, a simple tabu search and local descent algorithms." @default.
- W2139869884 created "2016-06-24" @default.
- W2139869884 creator A5036522287 @default.
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- W2139869884 date "1994-07-01" @default.
- W2139869884 modified "2023-10-03" @default.
- W2139869884 title "Capacitated clustering problems by hybrid simulated annealing and tabu search" @default.
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- W2139869884 doi "https://doi.org/10.1016/0969-6016(94)90032-9" @default.
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