Research on Engineering Project Time-Cost Optimization Based on Particle Swarm Optimization
2011 ◽
Vol 55-57
◽
pp. 1683-1686
Keyword(s):
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.
2011 ◽
Vol 22
(2)
◽
pp. 383-390
◽
2017 ◽
Vol 6
(1)
◽
pp. 71-79
◽
2016 ◽
2014 ◽
Vol 615
◽
pp. 270-275
2015 ◽
Vol 88
(3)
◽
pp. 343-358
◽
2021 ◽
Vol 2021
◽
pp. 1-13
Discrete particle swarm optimization method for the large-scale discrete time–cost trade-off problem
2016 ◽
Vol 51
◽
pp. 177-185
◽
2018 ◽
Vol 9
(1)
◽
pp. 1-5
2012 ◽
Vol 132
(1)
◽
pp. 42-52