Artículos de revistas
Comparing meta-heuristic approaches for parallel machine scheduling problems
Registro en:
Production Planning & Control. Taylor & Francis Ltd, v. 13, n. 2, n. 143, n. 154, 2002.
0953-7287
WOS:000173497700005
10.1080/09537280110069649
Autor
Mendes, AS
Muller, FM
Franca, PM
Moscato, P
Institución
Resumen
The aim of this paper is to compare the performance of two meta-heuristic methods proposed to solve the identical parallel machine scheduling problem with sequence dependent setup times. The goal is to minimize the makespan. The first algorithm is a tabu search based heuristic and the second a memetic approach, which combines a population-based method with local search procedures. As benchmarks for small-sized instances, optimal and lower bound values are used provided by a dichotomous search. For larger instances, the comparisons rely on the best known solutions provided by an exhaustive search variant of the tabu procedure. 13 2 143 154