Unit-Based Genetic Algorithmic Approach for Optimal Multipurpose Batch Plant Scheduling
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-49002-6_8
Reference22 articles.
1. Bowditch, Z., Woolway, M., van Zyl, T.: Comparative metaheuristic performance for the scheduling of multipurpose batch plants. In: 2019 6th International Conference on Soft Computing & Machine Intelligence (ISCMI), pp. 121–125. IEEE (2019)
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3. Eshelman, L.J., Schaffer, J.D.: Real-coded genetic algorithms and interval-schemata. In: Foundations of Genetic Algorithms, vol. 2, pp. 187–202. Elsevier (1993)
4. Georgiadis, G.P., Elekidis, A.P., Georgiadis, M.C.: Optimization-based scheduling for the process industries: from theory to real-life industrial applications. Processes 7(7), 438 (2019)
5. Harjunkoski, I., et al.: Scope for industrial applications of production scheduling models and solution methods. Comput. Chem. Eng. 62, 161–193 (2014)
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