A Bottleneck Degree-Based Migrating Birds Optimization Algorithm for the PCB Production Scheduling

• Main Authors: Jun Cao, Zailin Guan, Lei Yue, Saif Ullah, Rehan Ahmad Khan Sherwani
• Format: Article
• Language: English
• Published: IEEE 2020-01-01
• Series: IEEE Access
• Subjects: Bottleneck degree; dynamic scheduling; migrating bird algorithm; printed circuit board shop
• Online Access: https://ieeexplore.ieee.org/document/9235587/

To address the printed circuit board shop scheduling problem, a dynamic based on multi-indicator bottleneck degree is proposed to formulate this complex flexible job shop scheduling problem (FJSP). Then, a bottleneck degree-based migrating birds optimization algorithm (MBO) is proposed to tackle this NP-hard problem. Specifically, a multi-indicator assessment model is first developed to obtain the bottleneck degree, and then a two-layer code-decoding structure based on the variable domain structure and the addition of the improved migratory bird algorithm with competitive mechanisms are employed to improve the effectiveness. Finally, the computational experiments demonstrate that the proposed dynamic scheduling approach based on bottleneck degrees and improved migrating bird algorithms can obtain promising results and it outperforms several other algorithms.