Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/65349
Title: Construction resource scheduling with genetic algorithms
Authors: Chan, W.-T. 
Chua, D.K.H. 
Kannan, G.
Issue Date: Jun-1996
Source: Chan, W.-T.,Chua, D.K.H.,Kannan, G. (1996-06). Construction resource scheduling with genetic algorithms. Journal of Construction Engineering and Management 122 (2) : 125-132. ScholarBank@NUS Repository.
Abstract: A new approach for resource scheduling using genetic algorithms (GAs) is presented here. The methodology does not depend on any set of heuristic rules. Instead, its strength lies in the selection and recom-bination tasks of the GA to learn the domain of the specific project network. By this it is able to evolve improved schedules with respect to the objective function. Further, the model is general enough to encompass both resource leveling and limited resource allocation problems unlike existing methods, which are class-dependent. In this paper, the design and mechanisms of the model are described. Case studies with standard test problems are presented to demonstrate the performance of the GA-scheduler when compared against heuristic methods under various resource availability profiles. Results obtained with the proposed model do not indicate an exponential growth in the computational time required for larger problems.
Source Title: Journal of Construction Engineering and Management
URI: http://scholarbank.nus.edu.sg/handle/10635/65349
ISSN: 07339364
Appears in Collections:Staff Publications

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