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Applying Pareto Ranking and Niche Formation to Genetic Algorithm-Based Multiobjective Time–Cost Optimization
Applying Pareto Ranking and Niche Formation to Genetic Algorithm-Based Multiobjective Time–Cost Optimization
- Source :
- Journal of Construction Engineering and Management. 131:81-91
- Publication Year :
- 2005
- Publisher :
- American Society of Civil Engineers (ASCE), 2005.
-
Abstract
- Time–cost optimization (TCO) is one of the greatest challenges in construction project planning and control, since the optimization of either time or cost, would usually be at the expense of the other. Although the TCO problem has been extensively examined, many research studies only focused on minimizing the total cost for an early completion. This does not necessarily convey any reward to the contractor. However, with the increasing popularity of alternative project delivery systems, clients and contractors are more concerned about the combined benefits and opportunities of early completion as well as cost savings. In this paper, a genetic algorithms ( GAs ) -driven multiobjective model for TCO is proposed. The model integrates the adaptive weight to balance the priority of each objective according to the performance of the previous “generation.” In addition, the model incorporates Pareto ranking as a selection criterion and the niche formation techniques to improve popularity diversity. Based on the pr...
- Subjects :
- Construction management
Engineering
Operations research
business.industry
Total cost
Integrated project delivery
Strategy and Management
Building and Construction
Scheduling (computing)
Project planning
Adaptive system
Industrial relations
Genetic algorithm
Project management
business
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 19437862 and 07339364
- Volume :
- 131
- Database :
- OpenAIRE
- Journal :
- Journal of Construction Engineering and Management
- Accession number :
- edsair.doi...........6a9e72f0386a28136b5ecce31fb7b431
- Full Text :
- https://doi.org/10.1061/(asce)0733-9364(2005)131:1(81)