Anais Do 9. Congresso Brasileiro De Redes Neurais 2016
DOI: 10.21528/cbrn2009-068
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Um Algoritmo Evolutivo Híbrido Para O Problema De Recobrimento De Rotas Com Coleta De Prêmios

Abstract: This paper proposes a hybrid evolutionary algorithm for getting an approximate solution for the Prize Collecting Covering Tour Problem (PCCTP). The proposed algorithm combines heuristic strategies based on Iterated Local Search, Variable Neighborhood Descent, Path Relinking and GENIUS procedures. Computational results on a set of instances illustrate the effectiveness and the robustness of the proposed heuristic. Keywords    Computational Intelligence, Metaheuristics, Evolutionary Algorithm. Resumo    … Show more

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Cited by 1 publication
(11 citation statements)
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“…As regards the MIP solver, Gurobi optimizer [21] was used disabling its preprocessing heuristics, cuts, and the parallel mode set to none. We remark that the original source code of the ILS-RDM-CI heuristic was kindly provided by its author Silva [30] and used in our computational experiments.…”
Section: Computational Resultsmentioning
confidence: 99%
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“…As regards the MIP solver, Gurobi optimizer [21] was used disabling its preprocessing heuristics, cuts, and the parallel mode set to none. We remark that the original source code of the ILS-RDM-CI heuristic was kindly provided by its author Silva [30] and used in our computational experiments.…”
Section: Computational Resultsmentioning
confidence: 99%
“…The first formulation, proposed by Lyra [19], uses flow variables to avoid the formation of disconnected cycles. The other formulation proposed by Silva [30], uses multiflow variables to avoid sub-cycles in the route.…”
Section: Mathematical Formulationsmentioning
confidence: 99%
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