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Original Articles

Chemical process dynamic optimization based on the differential evolution algorithm with an adaptive scheduling mutation strategy

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Pages 1205-1221 | Received 23 Oct 2011, Accepted 28 Aug 2012, Published online: 30 Nov 2012

References

  • Angira , R. and Santosh , A. 2008 . A modified trigonometric differential evolution algorithm for optimization of dynamic systems . Evolutionary Computation , 6 ( 1–6 ) : 1463 – 1468 .
  • Babu , B. V. and Jehan , M. Differential evolution for multi-objective optimization . Proceedings of the IEEE congress on evolutionary computation . December 8–12 2003 , Canberra . pp. 2696 – 2703 . New York : IEEE Press .
  • Babu , B. V. and Rakesh , A. 2008 . Optimization of industrial processes using improved and modified differential evolution . Soft Computing Applications in Industry , 226 : 1 – 22 . (doi:10.1007/978-3-540-77465-5_1)
  • Bäck, T., 1996. Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms. Oxford University Press.
  • Brest , J. 2006 . Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems . IEEE Transactions on Evolutionary Computation , 10 : 646 – 657 .
  • Chen , C. L. , Sun , D. Y. and Chang , C. Y. 2002 . Numerical solution of dynamic optimization problems with flexible inequality constraints by iterative dynamic programming . Fuzzy Sets and Systems , 127 : 165 – 176 . (doi:10.1016/S0165-0114(01)00218-4)
  • Cheong , F. and Lai , R. 2007 . Designing a hierarchical fuzzy logic controller using the differential evolution approach . Applied Soft Computing , 7 : 481 – 491 . (doi:10.1016/j.asoc.2006.12.001)
  • Das , S. and Suganthan , P. N. 2011 . Differential evolution: a survey of the state-of-the-art . IEEE Transactions on Evolutionary Computation , 15 : 27 – 54 .
  • Eiben , A. E. , Hinterding , R. and Michalewicz , Z. 1999 . Parameter control in evolutionary algorithms . IEEE Transactions on Evolutionary Computation , 3 : 124 – 141 . (doi:10.1109/4235.771166)
  • Eiben , A. E. and Smith , J. E. 2003 . Introduction to evolutionary computing. Natural computing series , Berlin : Springer .
  • Gamperle , R. , Muller , S. D. and Koumoutsakos , P. A parameter study for differential evolution . Proceedings of the advanced intelligent systems, fuzzy systems, evolutionary computation . Interlaken , Switzerland:. Edited by: Grmela , A. and Mastorakis , N. E. pp. 293 – 298 . WSEAS Press .
  • Julio , R. B. 2005 . Dynamic optimization of bioprocesses: efficient and robust numerical strategies . Journal of Biotechnology , 117 : 407 – 419 .
  • Krinka , T. , Paterlinib , S. and Resti , A. 2007 . Using differential evolution to improve the accuracy of bank rating systems . Computational Statistics & Data Analysis , 52 : 68 – 87 . (doi:10.1016/j.csda.2007.02.011)
  • Liang , J. J. , Suganthan , P. N. and Deb , K. Novel composition test functions for numerical global optimization . Proceedings of the IEEE swarm intelligence symposium 2005 . June 8–10 , Pasadena , California. pp. 68 – 75 . New York : IEEE Press .
  • Liu , J. and Lampinen , J. A fuzzy adaptive differential revolution algorithm . Proceedings of the IEEE international region 10 conference on computers, communications, control and power engineering . October 28–31 , Beijing . pp. 606 – 611 . New York : IEEE Press .
  • Luus , R. 1993 . Optimization of fed-batch fermentors by iterative dynamic programming . Biotechnology and Bioengineering , 41 : 599 – 602 . (doi:10.1002/bit.260410513)
  • Mallipeddi , R. 2011 . Differential evolution algorithm with ensemble of parameters and mutation strategies . Applied Soft Computing , 11 : 1679 – 1696 . (doi:10.1016/j.asoc.2010.04.024)
  • Mezura-Montes , E. , Velázquez-Reyes , J. and Coello , C. A.C. A comparative study of differential evolution variants for global optimization . Proceedings of the genetic and evolutionary computation conference (GECCO) . July 8–12 2006 , Seattle , WA . pp. 485 – 492 . New York : ACM Press .
  • Omran , M. G.H. , Salman , A. and Engelbrecht , A. P. 2005 . “ Self-adaptive differential evolution ” . In Lecture notes in arti?cial intelligence , 192 – 199 . Berlin : Springer .
  • Onwubolu , G. C. and Babu , B. V. 2004 . New optimization techniques in engineering , Heidelberg : Springer .
  • Pan , Q. K. 2011 . A differential evolution algorithm with self-adapting strategy and control parameters . Computers & Operations Research , 38 : 394 – 408 . (doi:10.1016/j.cor.2010.06.007)
  • Pham , Q. T. 1998 . Dynamic optimization of chemical engineering processes by an evolutionary method . Computers and Chemical Engineering , 22 : 1089 – 1097 . (doi:10.1016/S0098-1354(97)00265-2)
  • Price , K. , Storn , R. and Lampinen , J. 2005 . Differential evolution: a practical approach to global optimization , 1 , New York : Springer .
  • Qin , A. K. , Huang , V. L. and Suganthan , P. N. 2009 . Differential evolution algorithm with strategy adaptation for global numerical optimization . IEEE Transactions on Evolutionary Computation , 13 : 398 – 417 . (doi:10.1109/TEVC.2008.927706)
  • Qin , A. K. and Suganthan , P. N. Self-adaptive differential evolution algorithm for numerical optimization . Proceedings of the IEEE world congress on evolutionary computation (CEC) . September 2–5 , Edinburgh , Scotland. pp. 1785 – 1791 . New York : IEEE Press .
  • Rajesh , J. 2001 . Dynamic optimization of chemical processes using ant colony framework . Computers and Chemistry , 25 : 583 – 595 .
  • Ramesh , S. , Kannan , S. and Baskar , S. 2012 . An improved generalized differential evolution algorithm for multi-objective reactive power dispatch . Engineering Optimization , 44 : 391 – 405 . (doi:10.1080/0305215X.2011.576761)
  • Ray , W. H. and Szekely , J. 1973 . Process optimization , New York : John Wiley & Sons .
  • Roubos , J. A. 1997 . Comparison of optimization methods for fed-batch cultures of hybridoma cells . Bioprocess Engineering , 17 : 99 – 102 .
  • Sayyed , A. A. and Mahmoud , R. P. 2008 . Dynamic optimization in chemical processes using region reduction strategy and control vector parameterization with an ant colony optimization algorithm . Chemical Engineering & Technology , 31 : 507 – 512 . (doi:10.1002/ceat.200700447)
  • Sindhu , M. , Rajkamal , R. and Vigneshwaran , P. An optimum multilevel CPU scheduling algorithm . Proceedings of the 2010 international conference on advances in computer engineering . June 20–21 2010 , Bangalore . pp. 90 – 94 .
  • Storn , R. and Price , K. 1995 . Differential evolution – a simple and efficient adaptive scheme for global optimization over continuous spaces , Berkeley , CA : International Computer Science Institute, Technical Report TR-95-012 .
  • Storn , R. and Price , K. 1997 . Differential evolution – a simple and efficient heuristic for global optimization over continuous spaces . Journal of Global Optimization , 11 : 341 – 359 . (doi:10.1023/A:1008202821328)
  • Suranauwarat , S. A CPU scheduling algorithm simulator . Presented at 37th ASEE/IEEE frontiers in education conference . October 10–13 , Milwaukee , WI . pp. 10 – 13 .
  • Teng , N. S. , Teo , J. and Hijazi , M. H.A. 2009 . Self-adaptive population sizing for a tune-free differential evolution . Soft Computing , 13 : 709 – 724 . (doi:10.1007/s00500-008-0344-6)
  • Teo , J. 2005 . “ Differential evolution with self-adaptive populations ” . In Knowledge-based intelligent information and engineering systems. Lecture notes in computer science , Vol. 3681 , 1284 – 1290 . Berlin : Springer .
  • Tvrdík , J. Differential evolution: competitive setting of control parameters . Proceedings of the international multi-conference on computer science and information technology . November 6–10 , Wisła , Poland. pp. 207 – 213 .
  • Villarreal-Cervantes , M. G. 2010 . Differential evolution techniques for the structure-control design of a five-bar parallel robot . Engineering Optimization , 42 : 535 – 565 . (doi:10.1080/03052150903325557)
  • Yeo , B. P. 1980 . A modified quasi-linearization algorithm for the computation of optimal singular control . International Journal of Control , 32 : 723 – 730 . (doi:10.1080/00207178008922884)
  • Zaharie , D. Control of population diversity and adaptation in differential evolution algorithms . Proceedings of the Mendel 9th international conference on soft computing . June 4–6 , Brno , Czech Republic. Edited by: Matousek , R. and Osmera , P. pp. 41 – 46 .
  • Zhang , B. , Chen , D. and Zhao , W. 2005 . Iterative ant-colony algorithm and its application to dynamic optimization of chemical process . Computers and Chemical Engineering , 29 : 2078 – 2086 . (doi:10.1016/j.compchemeng.2005.05.020)
  • Zhang , J. and Sanderson , A. C. 2009 . JADE: Adaptive differential evolution with optional external archive . IEEE Transactions on Evolutionary Computation , 13 : 945 – 958 . (doi:10.1109/TEVC.2009.2014613)

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