Application of genetic algorithms to chemical flowshop sequencing

Chemical Engineering and Technology

Volumn 24, Issue 4, 2001, Pages 327-333

  Poživil, Jaroslav ^a   Žd'ánský, Martin ^a  

^a INSTITUTE OF CHEMICAL TECHNOLOGY   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; MATHEMATICAL OPERATORS; OPTIMIZATION; PARAMETER ESTIMATION; REAL TIME SYSTEMS;

CHEMICAL FLOWSHOP SEQUENCING;

GENETIC ALGORITHMS;

ALGORITHM;

EID: 0035300269     PISSN: 09307516     EISSN: None     Source Type: Journal    
DOI: 10.1002/1521-4125(200104)24:4<327::AID-CEAT327>3.0.CO;2-4     Document Type: Article

References (5)

1. Cartwright, H. M.; Long, R. A., Simultaneous Optimization of Chemical Flowshop Sequencing and Topology Using Genetic Algorithms, Ind. Eng. Chem. Res. 32 (1993) pp. 2706-2713.
2. Androulakis, I. P.; Venkatasubramanian, V., A Genetic Algorithmic Framework for Processes Design and Optimization, Comput. Chem. Eng. 15 (1991) pp. 217-228.
3. Jung, J. H.; Lee, H. H.; Lee, I. B., A Genetic Algorithm for Scheduling of Multiproduct Batch Processes, Comput. Chem. Eng. 22 (1998) pp. 1725-1730.
4. Kim, M.; Jung, J. H.; Lee, I. B., Optimal Scheduling of Multiproduct Batch Processes for Various Intermediate Storage Policies, Ind. Chem. Eng. 35 (1996) pp. 4058-4066.
5. Stluka, P., Využití prvků umělé inteligence při rozvrhování vsádkových výrob (Use of artificial intelligence for scheduling of batch operations) Ph. D. Thesis, Department of Computer and Control Engineering, VŠCHT Praha 1998.