We consider the classical P||Cmax problem (assign n jobs tom identical parallel processors by minimizing the makespan) arising when the number of jobs that can be assigned to each processor cannot exceed a given integer k. The problem is strongly NP-hard for any fixed k > 2.We briefly survey lower and upper boundsfrom the literature.We introduce greedy heuristics, local search and a scatter search approach. The effectiveness of these approaches is evaluated through extensive computational comparison with a depth-first branch-and-bound algorithm that includes new lower bounds and dominance criteria.
Heuristic Algorithms and Scatter Search for the Cardinality Constrained P||Cmax Problem / Dell'Amico, Mauro; Iori, Manuel; S., Martello. - In: JOURNAL OF HEURISTICS. - ISSN 1381-1231. - STAMPA. - 10:2(2004), pp. 169-204. [10.1023/B:HEUR.0000026266.07036.da]
Heuristic Algorithms and Scatter Search for the Cardinality Constrained P||Cmax Problem
DELL'AMICO, Mauro;IORI, MANUEL;
2004
Abstract
We consider the classical P||Cmax problem (assign n jobs tom identical parallel processors by minimizing the makespan) arising when the number of jobs that can be assigned to each processor cannot exceed a given integer k. The problem is strongly NP-hard for any fixed k > 2.We briefly survey lower and upper boundsfrom the literature.We introduce greedy heuristics, local search and a scatter search approach. The effectiveness of these approaches is evaluated through extensive computational comparison with a depth-first branch-and-bound algorithm that includes new lower bounds and dominance criteria.Pubblicazioni consigliate
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