This paper demonstrates the difficulties of attempting to schedule the combination of discrete tasks of varying cycle times with continuous elements. Two ...

An optimal control approach for scheduling mixed batch/continuous process plants with variable cycle time · Sets formulation to schedule mixed batch/continuous ...

Recently, Costa [28] created a hybrid GA and Local Search approach to optimize a batch processing scheduling problem for pharmaceuticals production. ...

Genetic Algorithms for Multiobjective Scheduling of Combined Batch /. Continuous Process Plants. K. J. Shaw. School of Engineering,. Murdoch University,.

Genetic algorithms for multiobjective scheduling of combined batch/continuous process plants. In Evolutionary Computation, 2000. Proceedings of the 2000 ...

This paper presents a heuristic approach based on genetic algorithm (GA) for solving large-size multi-stage multi-product scheduling problem (MMSP) in batch ...

P.L. Lee's 3 research works with 66 citations, including: Genetic algorithms for multiobjective scheduling of combined batch/continuous process plants.

For purpose of this paper, a simpler multi-purpose batch plant is used to provide an initial test problem for the GA implementation scheduling tool ...

This paper presents a heuristic approach based on genetic algorithm (GA) for solving large-size multi-stage multi-product scheduling problem (MMSP) in batch ...

Nov 2, 2023 · genetic algorithm (MOGA) was developed with a Pareto optimal ranking method. The results show how the methodology can be used to find a.