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http://dx.doi.org/10.5345/JKIC.2008.8.6.091

A Study on Optimization Model of Time-Cost Trade-off Analysisusing Particle Swarm Optimization  

Park, U-Yeol (안동대학교 공과대학 건축공학과)
An, Sung-Hoon (대구대학교 건축공학과)
Publication Information
Journal of the Korea Institute of Building Construction / v.8, no.6, 2008 , pp. 91-98 More about this Journal
Abstract
It is time-consuming and difficulty to solve the time-cost trade-off problems, as there are trade-offs between time and cost to complete the activities in construction projects and this problems do not have unique solutions. Typically, heuristic methods, mathematical models and GA models has been used to solve this problems. As heuristic methods and mathematical models are have weakness in solving the time-cost trade-off problems, GA based model has been studied widely in recent. This paper suggests the time-cost trade-off optimization algorithm using particle swarm optimization. The traditional particle swarm optimization model is modified to generate optimal tradeoffs among construction time and cost efficiently. An application example is analyzed to illustrate the use of the suggested algorithm and demonstrate its capabilities in generating optimal tradeoffs among construction time and cost. Future applications of the model are suggested in the conclusion.
Keywords
Time-Cost Optimization; Genetic Algorithm; Particle Swarm Optimization;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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