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An integrated scheduling genetic algorithm based on process constraint matrix and family definition coding
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Journal Article
An integrated scheduling genetic algorithm based on process constraint matrix and family definition coding
2025
Overview
To address the complex product-integrated scheduling problem, an improved genetic algorithm based on process constraint matrix and family definition is proposed. The algorithm features a coding method that accurately represents the processing sequence constraints in the product process tree and introduces a simplified method for defining families and sub-processes. On this basis, a hierarchical relationship matrix is derived from the constraint matrix. To resolve the issue of infeasible solutions arising from crossover and mutation operations, a family-based single-parent genetic improvement algorithm is designed. Experimental results validate the effectiveness of the proposed algorithm.
Publisher
IOP Publishing
Subject
