A Discrete Differential Evolution Algorithm Based Operator Allocation Optimization Model for Balancing Control of the Hybrid Assembly Lines
This paper investigates the operator allocation problem (OAF) for balance control of a complicated hybrid assembly line which appears in the apparel sewing manufacturing system. Multiple objectives and constraints for the problem are formulated. An optimization model combining the discrete differential evolution (DDE) algorithm and the embedded discrete event simulation (DES) model is proposed to solve the OAP. The DDE algorithm extends the real-value differential evolution to handle the discrete-value vector by introducing two modified operators, the subtraction and addition operators. During the optimization process, the embedded DES model is used to evaluate the performance objectives by analyzing the dynamic behaviors of the hybrid assembly lines. Extensive experiments are conducted to validate the proposed optimization model. The experimental results show the effectiveness of the proposed algorithm.
optimization operator allocation problem (OAP) discrete differential evolution (DDE) balance control
Xianhui Zeng Chengyang Ye Wai-Keung Wong Yung-Sun Leung
College of Information Science and Technology. Donghua University, Shanghai 201620, China Engineeri Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong
国际会议
海口
英文
244-248
2011-07-15（万方平台首次上网日期，不代表论文的发表时间）