Abstract:

We propose a differential evolution particle swarm algorithm (DEPSO) for prefabricated housing project schedule optimization problem based on the difference algorithm (DE) and the particle swarm optimization (PSO). The prefabricated project schedule optimization model whose objective is the optimal fabricated project period schedule optimization is built. The new algorithm establishes an information exchange mechanism between the DE and the PSO to avoid that either of the two single algorithms fall into local optimum. With a prefabricated housing project as an example, we compare the three algorithms, and the results prove that the DEPSO is reasonable, efficient and robust in solving assembled project schedule optimization, and it can effectively solve the optimization problem of prefabricated housing project period, thus having great application value.