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《Technology Economics》 2008-10
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Study on Optimization of Time-cost Based on Particle Swarm Optimization with Considering Secondary Critical Path

Jia Zhengyuan,Gong Lihua(School of Business and Administration,North China Electric Power University,Baoding Hebei 071003,China)  
The time-cost optimization is the core of network plan.However,the traditional study on optimization of time-cost neglectes the impact of secondary critical path and resource constraint on time compression.This paper studies the impact of secondary critical path on time compression,and describes the characteristic path method for solving the optimal cost of compression.Based on this method,it establishes the mathematical model on time-cost with resource constraint.After coding for solution,it uses the particle swarm optimization to solve this model,and then adjusts the time of working procedure to obtain the optimum time-cost according to the optimal solution.Finally,through the simulation of project example,it verifies the rationality and effectiveness of this model.
【CateGory Index】: TP399-C2
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