作者: A. Drexl
DOI: 10.1007/BF02242185
关键词:
摘要: The multiconstraint 0–1 knapsack problem encounters when deciding how to use a with multiple resource constraints. is known be NP-hard, thus “good” algorithm for its optimal solution very unlikely exist. We show the concept of simulated annealing may used solving this approximately. 57 data sets from literature demonstrate, that converges rapidly towards optimum solution.