Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ces.2010.05.032
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dc.titleA binary coding genetic algorithm for multi-purpose process scheduling: A case study
dc.contributor.authorHe, Y.
dc.contributor.authorHui, C.-W.
dc.date.accessioned2014-11-28T08:42:53Z
dc.date.available2014-11-28T08:42:53Z
dc.date.issued2010-08
dc.identifier.citationHe, Y., Hui, C.-W. (2010-08). A binary coding genetic algorithm for multi-purpose process scheduling: A case study. Chemical Engineering Science 65 (16) : 4816-4828. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ces.2010.05.032
dc.identifier.issn00092509
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/112984
dc.description.abstractThis paper presents a novel genetic algorithm (GA) for the scheduling of a typical multi-purpose batch plant with a network structure. Multi-purpose process scheduling is more difficult to deal with compared to single-stage or multi-stage process scheduling. A large amount of literature on this problem has been published and nearly all of the authors used mathematical programming (MP) methods for solution. In the MP methods, a huge number of binary variables, as well as numerous constraints to consider mass balance and sequencing of batches in space/time dimensions, are needed for the large-size problem, which leads to very long computational time. In the proposed GA, only a small part of the binary variables are selected to code into binary chromosomes, which is realized through the identification of crucial products/tasks/units. Due to the logical heuristics utilized to decode a chromosome into a schedule, only the feasible solution space is searched. Our genetic algorithm has first been devised with particular crossover for makespan minimization and then adjusted for production maximization. © 2010 Elsevier Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.ces.2010.05.032
dc.sourceScopus
dc.subjectBinary coding
dc.subjectGenetic algorithm
dc.subjectMulti-purpose batch plant
dc.subjectProcess systems engineering
dc.subjectScheduling
dc.subjectSpecial crossover
dc.typeArticle
dc.contributor.departmentSOLAR ENERGY RESEARCH INST OF S'PORE
dc.description.doi10.1016/j.ces.2010.05.032
dc.description.sourcetitleChemical Engineering Science
dc.description.volume65
dc.description.issue16
dc.description.page4816-4828
dc.description.codenCESCA
dc.identifier.isiut000279634600029
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