Research on Engineering Project Time-Cost Optimization Based on Particle Swarm Optimization

Abstract:

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In order to reasonably reduce the cost of project, and reduce the duration of project, the engineering project time–cost must be optimized. The paper concludes the project time - cost optimal solution, by establishing programming model of project time–cost nonlinear relation, and using particle swarm optimization algorithm to achieve progress optimization. And using an example shows that this optimization method is the feasibility and practicability in solving engineering project time–cost of nonlinear optimization.

Info:

Periodical:

Edited by:

Qi Luo

Pages:

1683-1686

DOI:

10.4028/www.scientific.net/AMM.55-57.1683

Citation:

T. Wang and L. F. Li, "Research on Engineering Project Time-Cost Optimization Based on Particle Swarm Optimization", Applied Mechanics and Materials, Vols. 55-57, pp. 1683-1686, 2011

Online since:

May 2011

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$35.00

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