关键词: 装配线, 粒子群算法, 平衡优化问题

Abstract: In the context of the rapid development of the manufacturing industry,the balance of assembly line has become the core issue of improving production efficiency and reducing cost. The research aims to use the improved collaborative particle swarm optimization algorithm to solve the third type of assembly line balancing problem. Through the detailed analysis of the assembly line operation elements,the mathematical model is constructed with the optimization goal of minimizing the smoothness index. In the algorithm design,the characteristics and constraints of the assembly line are fully considered. By introducing the dynamic attraction and diversity maintenance mechanism into the particle swarm optimization algorithm,the premature convergence is avoided and the search efficiency is improved. Through the mutual cooperation and information sharing between individuals,the search ability and solution quality are improved. Experiments show that compared with the traditional algorithm,the algorithm is more effective in reducing the smoothness index in achieving assembly line balance,thereby improving the production efficiency of the entire assembly line and making more effective use of assembly resources.

Key words: assembly line, particle swarm optimization, balance optimization problem