Genetic/quadratic search algorithm for plant economic optimizations using a process simulator

Computers and Chemical Engineering

Volumn 30, Issue 2, 2005, Pages 285-294

  Jang, Won Hyouk ^a   Hahn, Juergen ^a   Hall, Kenneth R ^a  

^a Texas AandM University   (United States)

Author keywords

Cost allocation; Genetic algorithm; Process simulation

Indexed keywords

COMPUTER SIMULATION; INDUSTRIAL ECONOMICS; NUMERICAL ANALYSIS; OPTIMIZATION; PLANT MANAGEMENT; SIMULATORS;

COST ALLOCATION; GLOBAL OPTIMUM; PLANT ECONOMICS; PROCESS SIMULATION;

GENETIC ALGORITHMS;

GENETIC ALGORITHM; PROCESS OPTIMIZATION;

EID: 27844457999     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2005.09.007     Document Type: Article

References (28)

1. R.K. Ahuja, J.B. Orlin, and A. Tiwari A greedy genetic algorithm for the quadratic assignment problem Computer and Operational Research 27 2000 917 934
2. Bullin, K. A. (1999). Economic optimization of natural gas processing plants including business aspects. Ph.D. Dissertation. Texas A&M University, College Station, TX.
3. P. Cong, and T. Li Numerical genetic algorithm part I. Theory, algorithm and simulated experiments Analytica Chimica Acta 293 1994 191 203
4. T. Crain, R.H. Bishop, W. Fowler, and K. Rock Optimal interplanetary trajectory design via hybrid genetic algorithm/recursive quadratic program search Advances in the Astronautical Sciences 104 1999 449 466
5. L. Davis Handbook of genetic algorithms 1991 Van Nostrand New York
6. De Jong, K. A. (1975). An analysis of the behavior of a class of genetic adaptive systems. Ph.D. Dissertation. University of Michigan, Ann Arbor, MI.
7. T.F. Edgar, D.M. Himmelblau, and L.S. Lasdon Optimization of chemical processes 2001 McGraw-Hill New York
8. M. Gen, and R. Cheng Genetic algorithms and engineering design 1997 John Wiley & Sons New York
9. D.E. Goldberg Genetic algorithms in search, optimization and machine learning 1989 Addison-Wesley Reading, MA
10. J. Grefensetette Lamarckian learning in multi-agent environment Proceedings of the Fourth International Conference on Genetic Algorithms 1994 Morgan Kaufmann Publishers San Mateo, CA
11. B. Gross, and P. Roosen Total process optimization in chemical engineering with evolutionary algorithms Computers and Chemical Engineering 22 1998 s229 s236
12. V. Hanagandi, and M. Nikolaou A hybrid approach to global optimization using a clustering algorithm in a genetic search framework Computers and Chemical Engineering 22 1998 1913 1925
13. J.H. Holland Adaptation in natural and artificial systems 1975 University of Michigan Press Ann Arbor, MI
14. G.P. Kasprzyk, and M. Jasku Application of the hybrid genetic-simplex algorithm for deconvolution of electrochemical responses in SDLSV method Journal of Electroanalytical Chemistry 567 1 2004 39 66
15. J. Leboreiro, and J. Acevedo Processes synthesis and design of distillation sequences using modular simulators: a genetic algorithm framework Computers and Chemical Engineering 28 2004 1223 1236
16. P. Li, K. Löwe, H. Arellano-Garcia, and G. Wozny Integration of simulated annealing to a simulation tool for dynamic optimization of chemical processes Chemical Engineering and Processing 39 2000 357 363
17. L. Ljung System identification: theory for the user 2nd ed. 1999 Prentice-Hall Upper Saddle River, NJ
18. Q. Lü, G. Shen, and R. Yu A chaotic approach to maintain the population diversity of genetic algorithm in network training Computational Biology and Chemistry 27 2003 363 371
19. P. Moscato, and M. Norman Proceedings of the International Conference on Parallel Computing and Transportation Applications Amsterdam A memetic approach for the traveling salesman problem: implementation of a computational ecology for combinatorial optimization on message-passing system 1992
20. M. Okamoto, T. Nonaka, S. Ochiai, and D. Tominaga Nonlinear numerical optimization with use of a hybrid genetic algorithm incorporating the modified Powell method Applied Mathematics and Computation 91 1 1998 63 72
21. J.M. Peña, J.A. Lozano, and P. Larrañaga An empirical comparison of four initialization methods for the K-means algorithm Pattern Recognition Letters 20 1999 1027 1040
22. S.S. Rao Engineering optimization: theory and practice 1996 John Wiley & Sons New York
23. C.R. Reeves A genetic algorithm for flowshop sequencing Computers and Operational Research 22 1994 5 13
24. M.C. Tayal, Y. Fu, and U.M. Diwekar Optimal design of heat exchangers: a genetic algorithm framework Industrial and Engineering Chemistry Research 38 1999 456 467
25. A.A. Törn Cluster analysis using seed points and density-determined hyper-spheres as an aid to global optimization IEEE Transactions on Systems Man and Cybernetics 7 1978 610 616
26. K. Wang, T. Löhl, M. Stobbe, and S. Engell A genetic algorithm for online-scheduling of a multiproduct polymer batch plant Computers and Chemical Engineering 24 2000 393 400
27. K. Wang, A. Salhi, and E.S. Fraga Process design optimisation using embedded hybrid visualisation and data analysis techniques within a genetic algorithm optimisation framework Chemical Engineering and Processing 43 5 2004 657 669
28. X.F. Yan, D.Z. Chen, and S.X. Hu Chaos-genetic algorithms for optimizing the operating conditions based on RBF-PLS model Computers and Chemical Engineering 27 2003 1393 1404