HAO Jinghua, LIU Min, WU Cheng. “Particle Swarm Optimization for Parallel MachineScheduling Problem with Machine EligibilityConstraints”. Chinese Journal of Electronics, vol. 19 no. 1.
Citation:
HAO Jinghua, LIU Min, WU Cheng. “Particle Swarm Optimization for Parallel MachineScheduling Problem with Machine EligibilityConstraints”. Chinese Journal of Electronics, vol. 19 no. 1.
HAO Jinghua, LIU Min, WU Cheng. “Particle Swarm Optimization for Parallel MachineScheduling Problem with Machine EligibilityConstraints”. Chinese Journal of Electronics, vol. 19 no. 1.
Citation:
HAO Jinghua, LIU Min, WU Cheng. “Particle Swarm Optimization for Parallel MachineScheduling Problem with Machine EligibilityConstraints”. Chinese Journal of Electronics, vol. 19 no. 1.
Particle swarm optimization is a popular global optimization technology in continuous and discrete optimization ¯elds in recent years. This paper presents a particle swarm optimization-based scheduling algorithm for large-scale parallel machine scheduling problem with machine eligibility constraints and the objective of min- imizing the total weighted tardiness. In the proposed method, we ¯rst design a Machine assignment heuristic (MAH) which is used to assign a processing machine of each job based on the dynamic load-balancing mechanism, and then we propose a particle swarm optimization algo- rithm to optimize the sequence of all jobs in which MAH is used in the decoding process of each particle, also, the mechanisms of particle-moving and velocity-updating are devised based on the problem characteristics. Numerical computational results show that the proposed algorithm is e®ective for large-scale parallel machine scheduling prob- lems with machine eligibility constraints.
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