Stochastic integer programming in chemical batch scheduling: evolution strategies vs. exact algorithms

Computer Aided Chemical Engineering

Volumn 21, Issue C, 2006, Pages 1967-1972

  Till, Jochen ^a   Sand, Guido ^a   Engell, Sebastian ^a  

^a TU DORTMUND UNIVERSITY   (Germany)

Author keywords

chemical batch scheduling; evolution strategies; hybrid algorithms; stochastic integer programming; uncertainty

Indexed keywords

EID: 77956720635     PISSN: 15707946     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S1570-7946(06)80336-6     Document Type: Article

References (10)

1. Sahinidis N.V. Optimization under uncertainty: state-of-the-art and opportunities. Computers and Chemical Engineering 28 (2004) 971-983
2. Birge J.F., and Louveaux F. Introduction to stochastic programming (1997), Springer
3. C.A. F., and Lin C. Continuous-time versus discrete-time approaches for scheduling of chemical processes: a review. Computers and Chemical Engineering 28 (2004) 2109-2129
4. Sand G., and Engell S. Modelling and solving real-time scheduling problems by stochastic interger programming. Computers and Chemical Engineering 28 (2004) 1087-1103
5. Till J., Sand G., Engell S., Emmerich M., and Schönemann L. A hybrid algorithm for solving stochastic scheduling problems by combining evolutionary and mathematical programming methods. In: Puigjaner L., and Espuna A. (Eds). European Symposium on Computer Aided Process Engineering-15 (2005) 187-192
6. Till J., Engell S., and Sand. Rigorous vs. stochastic algorithms for two-stage stochastic integer programming applications. International Journal of Intelligent Computing (IJIT) 11 Special Issue ICIC 2005 (2005) 106-115
7. H.-G. B., and Schwefel H.-P. Evolution strategies-a comprehensive introduction. Nature Computing 1 (2002) 3-52
8. CPLEX. Using the CPLEX callable libary (2002), Mountain View, CA, ILOG Inc.
9. Carøe C.C., and Schultz R. Dual decomposition in stochastic integer programming. Operations Research Letters 24 (1999) 37-45
10. in press. Emmerich M., Urselmann M., Till J., Sand G., and Engell S. Hybrid EA/MIP method for solving two-stage stochastic programing problem in chemical batch scheduling. 7th International Conference on Adaptive Computing in Design and Manufacture (ACDM 2006) (2006), Springer