Scheduling optimization in supply chain based on GA-PSO hybrid algorithm

作者：Liu Xiao Hua^*; Lin Jie

来源：Control and Decision, 2011, 26(4): 501-506.

• Convergence speed
• Efficient method
• Global searching ability
• Hybrid algorithm
• Hybrid algorithms
• Intelligent Algorithms
• Mass customization
• Mathematical programming models
• Objective functions
• Other algorithms
• Particle swarm algorithm
• Scheduling optimization
• Simulation result

For scheduling optimization problem in mass customization supply chain, a mathematical programming model is proposed, which is corresponded with a digraph via several definitions in order to use intelligent algorithm to solve it. A hybrid algorithm is proposed to optimize the objective function, which takes both advantages of genetic algorithm and particle swarm algorithm, so this hybrid algorithm integrated global searching ability with high convergence speed. Compared with the results of other algorithms, the simulation results show that the proposed algorithm is an efficient method for solving the scheduling optimization problem.

• 出版日期2011
• 单位同济大学