Zheng, D X M; Ng, S T and Kumaraswamy, M M (2005) Applying Pareto ranking and niche formation to genetic algorithm-based multiobjective time-cost optimization. Journal of Construction Engineering and Management, 131(1), pp. 81-91. ISSN 0733-9364
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 proposed framework, a prototype system has been developed in Microsoft Project for testing with a medium-sized project. The results indicate that greater robustness can be attained by the introduction of adaptive weight approach, Pareto ranking, and niche formation to the GA-based multiobjective TCO model.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | adaptive systems; algorithms; construction costs; optimization; scheduling; time factors |
| Index terms: | construction cost, adaptive system, cost saving, testing, project delivery, prototype, cost optimization, scheduling, genetic algorithm, construction project |
| Subjects: | economics, algorithms, theoretical framing, production management, modelling and simulation, operations research, financial and cost management, project delivery, professional practice |
| Topics: | Procurement, Project Management, Research Practice, Engineering Principles, Cost Management, Time Control, Digital Applications |
| Descriptive scope: | 3 PCT |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here