Interactive batch process schedule optimization and decision-making using multiobjective genetic algorithms

SHAW, KJ, NORTCLIFFE, Anne, THOMPSON, M, LOVE, J and FLEMING, PJ (1999). Interactive batch process schedule optimization and decision-making using multiobjective genetic algorithms. In: Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on. IEEE, 486-491.

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Abstract

A multiobjective genetic algorithm (MOGA) is applied to a test batch scheduling problem to optimize five objectives simultaneously. The design of the MOGA allows an emphasis on human interaction with the optimization process, including the ability to change priorities of preferences and plant data interactively, and to allow the MOGA to make decisions regarding batch size and the rule task allocation. Experimental results demonstrate the development of this technique, allowing the combination of human expertise and MOGA optimization power to provide scheduling solutions to a highly complex problem.

Item Type:	Book Section
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Materials and Engineering Research Institute > Engineering Research
Departments - Does NOT include content added after October 2018:	Faculty of Science, Technology and Arts > Department of Engineering and Mathematics
Identification Number:	https://doi.org/10.1109/ICSMC.1999.816600
Page Range:	486-491
Depositing User:	Anne Nortcliffe
Date Deposited:	19 Jan 2018 15:37
Last Modified:	18 Mar 2021 16:17
URI:	https://shura.shu.ac.uk/id/eprint/14454

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