IMPROVING LOCAL SEARCH HEURISTICS FOR SOME SCHEDULING PROBLEMS .1.

Citation
P. Brucker et al., IMPROVING LOCAL SEARCH HEURISTICS FOR SOME SCHEDULING PROBLEMS .1., Discrete applied mathematics, 65(1-3), 1996, pp. 97-122
Citations number
12
Categorie Soggetti
Mathematics,Mathematics
Volume
65
Issue
1-3
Year of publication
1996
Pages
97 - 122
Database
ISI
SICI code
Abstract
Local search techniques like simulated annealing and tabu search are b ased on a neighborhood structure defined on a set of feasible solution s of a discrete optimization problem. For the scheduling problems P2 / / C-max, 1/prec/ Sigma C-i and 1 // Sigma T-i we replace a simple neig hborhood by a neighborhood on the set of all locally optimal solutions . This allows local search on the set of solutions that are locally op timal.