TY - BOOK
T1 - A local search template (extended abstract)
AU - Vaessens, R.J.M.
AU - Aarts, E.H.L.
AU - Lenstra, J.K.
PY - 1992
Y1 - 1992
N2 - A template is presented that captures the majority of local search algorithms proposed in the literature, such as iterative improvement, simulated annealing, threshold accepting, tabu search, and genetic algorithms. The template leads to a classification of existing local search algorithms and suggests directions for designing new types of local search approaches.
Key words: local search, iterative improvement, simulated annealing, threshold accepting, tabu search, genetic algorithms.
AB - A template is presented that captures the majority of local search algorithms proposed in the literature, such as iterative improvement, simulated annealing, threshold accepting, tabu search, and genetic algorithms. The template leads to a classification of existing local search algorithms and suggests directions for designing new types of local search approaches.
Key words: local search, iterative improvement, simulated annealing, threshold accepting, tabu search, genetic algorithms.
M3 - Report
T3 - Memorandum COSOR
BT - A local search template (extended abstract)
PB - Technische Universiteit Eindhoven
CY - Eindhoven
ER -