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authors Leu, S.-S., Yang, C.-H. and Huang, J.-C.
year 2000
title Resource leveling in construction by genetic algorithm-based optimization and its decision support system application
source Automation in Construction 10 (1) (2000) pp. 27-41
summary Traditional analytical and heuristic approaches are inefficient and inflexible when solving construction resource leveling problems. A computational optimization technique, genetic algorithms (GAs), was employed in this study to overcome drawbacks of traditional construction resource leveling algorithms. The proposed algorithm can effectively provide the optimal or near-optimal combination of multiple construction resources, as well as starting and finishing dates of activities subjected to the objective of resource leveling. Furthermore, a prototype of a decision support system (DSS) for construction resource leveling was also developed. Construction planners can interact with the system to carry out ad hoc analysis through "what-if" queries.
series journal paper
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last changed 2003/05/15 19:22
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