Genetic algorithm for large-size multi-stage batch plant scheduling

• Published in: Chemical engineering science Vol. 62; no. 5; pp. 1504 - 1523
• Main Authors: He, Yaohua, Hui, Chi-Wai
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.03.2007; Elsevier
• Subjects: Active schedule; Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization; Applied sciences; Chemical engineering; Economics. Management. Design assessment; Exact sciences and technology; Genetic algorithm; Heuristic rule; Mixed-integer linear programming; Multi-stage scheduling; Multi-stage scheduling; Heuristic rule; Genetic algorithm; Mixed-integer linear programming; Active schedule; Batchwise; Linear programming; Mixed integer programming; Scheduling; Heuristic approach; Mathematical programming; Handling

This paper presents a heuristic approach based on genetic algorithm (GA) for solving large-size multi-stage multi-product scheduling problem (MMSP) in batch plant. The proposed approach is suitable for different scheduling objectives, such as total process time, total flow time, etc. In the algorith...