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What is PSO for Bi-Level Job-Shop Scheduling about?

This study introduces a particle swarm optimization (PSO) algorithm to address a bi-level multi-objective job-shop scheduling problem based on the theory of constraints (TOC). The proposed PSO-based procedure simplifies the solution process by simultaneously addressing the objectives of both levels, focusing on minimizing idle time at bottleneck machines while optimizing other performance measures. The effectiveness of the approach is demonstrated through numerical examples and comparisons with a commercial

Author

lingyunsuper

Language

EN