Multi-objective genetic algorithm embedded with reinforcement learning for petrochemical melt-flow-index production scheduling

Author:

Lee Chia-YenORCID,Ho Chieh-Ying,Hung Yu-HsinORCID,Deng Yu-Wen

Funder

National Science and Technology Council

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Reference31 articles.

1. Alfares, H.K. (2007). A mathematical model for optimum petrochemical multi-grade selection, production, and sequencing. Sixth Conference on the Analysis of Manufacturing Systems (AMS 2007), Lunteren, Netherlands.

2. A hybrid algorithm using a genetic algorithm and multiagent reinforcement learning heuristic to solve the traveling salesman problem;Alipour;Neural Comput. Appl.,2018

3. Metaheuristic multiobjective optimisation approach for the scheduling of multiproduct batch chemical plants;Arbiza;J. Clean. Prod.,2008

4. Dynamic Programming;Bellman,1957

5. Scheduling of a multi-product batch process in the chemical industry;Blömer;Comput. Ind.,1998

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