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M. Gravel, W.L. Price, and C. Gagne. Scheduling continuous casting of aluminum using a multipleobjective ant colony optimization metaheuristic. Technical report, FSA, UniversiteLaval,Quebec, Canada, 2001. (submitted for publication).

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Ant Algorithms: Review and Future Applications - Krishnan Krishnaiyer Hossein   (Correct)

....is compared with two other heuristics such as the random selection heuristic and earliest completion time heuristic. In all the cases for a simulation time frame of 1000 units and 2000 5000 units the AC algorithm was found to give better solution than the other two heuristics. Gravel et al. [18] applied ant algorithms to the scheduling of jobs in a foundry environment. The algorithm type used was the ACO algorithm with look ahead features by which the authors obtained better solution than the ACO algorithm without look ahead features. This elucidates the practical applicability of ant ....

Gravel M., Price W., Gagn C., 2001, Scheduling Continuous Casting of Aluminum using a Multiple-Objective Ant Colony Optimization Metaheuristic, Document de Travail, Facult des Sciences de l' Administration, University of Laval, Quebec, Canada. (Submitted for publication).


A Look-Ahead Addition to the Ant Colony Optimization.. - Gagne, Gravel, Price (2001)   Self-citation (Gravel Price Gagne)   (Correct)

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M. Gravel, W.L. Price, and C. Gagne. Scheduling continuous casting of aluminum using a multipleobjective ant colony optimization metaheuristic. Technical report, FSA, UniversiteLaval,Quebec, Canada, 2001. (submitted for publication).


Scheduling a single machine with sequence dependent setup.. - Gagné, Price, al.   Self-citation (Gravel Price Gagn)   (Correct)

....treated and those met in practice. The development of efficient solution procedures for the scheduling of orders in a casting center belonging to a Canadian multinational firm is the principal aim of the research reported in this paper. The authors have previously reported [Gravel et al. 2000] [Gravel et al. 2001] details of successful work in this metaheuristics area. The aim of this paper is to report on the performance of some extensions to the ant colony optimization (ACO) algorithm [Dorigo, 1992] which has already demonstrated its usefulness in this industrial situation and is presently incorporated ....

....for this case. In particular, it allows us to use various elements of information about the problem to better direct the search for good solutions. Moreover, the basic algorithm has already demonstrated its capacity to perform well in comparison to other metaheuristics in an industrial setting [Gravel et al. 2001]. Our objective was to improve on this performance on the one hand by including extensions suggested in the literature, and on the other through the use of new Scheduling a single machine with sequence dependent ; C. Gagn, W.L. Price, M. Gravel 3 elements that use broader information in the ....

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Gravel M., Price W., Gagn C. [2001], Scheduling continuous casting of aluminum using a multiple-objective ant colony optimization metaheuristic, Document de Travail, Facult des Sciences de l'Administration, Universit Laval, Qubec, Canada. (submitted for publication).

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