Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/65079
Title: A time-cost trade-off model with resource consideration using genetic algorithm
Authors: Chua, D.K.H. 
Chan, W.T. 
Govindan, K.
Keywords: Genetic algorithm
Optimisation
Resource allocation
Time-cost
Issue Date: 1997
Source: Chua, D.K.H.,Chan, W.T.,Govindan, K. (1997). A time-cost trade-off model with resource consideration using genetic algorithm. Civil Engineering Systems 14 (4) : 291-311. ScholarBank@NUS Repository.
Abstract: A genetic algorithm (GA)-based model to deal with time-cost trade-off problems is presented. The traditional algorithms assume the unlimited availability of resources. Instead, the proposed model allows for resource constraints. Accordingly, the trade-off is considered in terms of the level of resources to be deployed for each activity. At the same time the model schedules the starts of the activities in order to optimize the objective function. The activity starts is a significant factor in the case of non-uniform available profile. The GA searches both spaces of resource utilization and activity starts to determine the optimal schedule that conforms to the resource available profile. Although, in principle, this has the potential of a combinatorial explosion, earlier work suggests that the GA-based model can be applied to larger networks without appearing to suffer from this problem. Allowing the project manager to think in terms of resource utilization makes this approach consistent with resource allocation problems, and more pragmatic and appealing. The model can also be used to solve conventional time-cost trade-off problems by a simple modification of the objective function. Numerical examples are used to illustrate the working of the model. The examples include a case of varying resource available profile. © 1997 OPA (Overseas Publishers Association) Amsterdam B.V. Published in The Netherlands under license by Gordon and Breach Science Publishers.
Source Title: Civil Engineering Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/65079
ISSN: 02630257
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

33
checked on Dec 8, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.