Paper Title:
Research on Engineering Project Time-Cost Optimization Based on Particle Swarm Optimization
  Abstract

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, 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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Price
$32.00
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