Wu D., Wang L., Ying Y., 2018, Multi-step Optimization of Chemical Production Workshop Based on Improved Particle Swarm Optimization, Chemical Engineering Transactions, 71, 421-426.
The scheduling problem of chemical production workshop is a weak link of computer integrated manufacturing system, and efficient production scheduling is the key to shorten the production cycle, and to improve production efficiency and economic benefits. This paper analyzes and studies the basic characteristics of the chemical production scheduling problem, and establishes a scheduling model for it. Based on the swarm intelligence algorithms, an improved particle swarm optimization (IPSO) and a genetic algorithm-based improved particle swarm optimization (GAIPSO) are proposed to solve the scheduling problem of chemical workshops and are verified. The results show that the IPSO is superior to the basic PSO in the convergence speed and the reliability of the solution to avoid falling into a local optimal solution and the "premature" problem, which improves the global search capabilities.
