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Materials and Manufacturing Processes Volume 30, 2015 - Issue 4: Special Issue on Genetic Algorithms
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Original Articles

Kriging Surrogate Based Multi-objective Optimization of Bulk Vinyl Acetate Polymerization with Branching

Anitha MogilicharlaDepartment of Chemical Engineering, Indian Institute of Technology Hyderabad, Yeddumailaram, Andhra Pradesh, India
,
Prateek MittalDepartment of Chemical Engineering, Indian Institute of Technology Hyderabad, Yeddumailaram, Andhra Pradesh, India
,
Saptarshi MajumdarDepartment of Chemical Engineering, Indian Institute of Technology Hyderabad, Yeddumailaram, Andhra Pradesh, India
&
Kishalay MitraDepartment of Chemical Engineering, Indian Institute of Technology Hyderabad, Yeddumailaram, Andhra Pradesh, IndiaCorrespondence[email protected].
Pages 394-402 | Received 04 Mar 2014, Accepted 11 Apr 2014, Published online: 09 Feb 2015

REFERENCES

  • Datta, S.; Chattopadhyay, P.P. Soft computing techniques in advancement of structural metals. International Material Reviews 2013, 58 (8), 475–504.
  • Paszkowicz, W. Genetic algorithms, a nature-inspired tool: a survey of applications in materials science and related fields: Part II. Materials and Manufacturing Processes 2013, 28, 708–725.
  • Mitra, K.; Majumder, S. Successive approximate model based multi-objective optimization for an industrial straight grate iron ore induration process using evolutionary algorithm. Chemical Engineering Science 2011, 6, 3471–3481.
  • Mitra, K. Evolutionary surrogate optimization of an industrial sintering process. Materials and Manufacturing Processes 2013, 28, 768–775.
  • Jin, Y.A. Comprehensive survey of fitness approximation in evolutionary computation. Soft Computing 2005, 9, 3–12.
  • Jin, Y.; Olhofer, M.; Sendhoff, B. A framework for evolutionary optimization with approximate fitness functions. IEEE Transactions on Evolutionary Computation 2002, 6, 481–494.
  • Nain, P.K.S.; Deb, K. Computationally effective search and optimization procedure using coarse to fine approximations. In Proceedings of the Congress on Evolutionary Computation, Canberra, Australia, 2003; 2081–2088.
  • Li, M.; Li, G.; Azarm, S. A Kriging metamodel assisted multi-objective genetic algorithm for design optimization. Journal of Mechanical Design 2008, 130, 031401–031410.
  • Li, M. An improved Kriging-assisted multi-objective genetic algorithm. Journal of Mechanical Design 2011, 133, 071008–071011.
  • Giri, B.K.; Pettersson, F.; Saxen, H.; Chakraborti, N. Genetic programming evolved through bi-objective genetic algorithms applied to a blast furnace. Materials and Manufacturing Processes 2013, 28, 776–782.
  • Meimaroglou, D.; Krallis, A.; Saliakas, V.; Kiparissides, C. Prediction of the bivariate molecular weight-long chain branching distribution in highly branched polymerization systems using monte-carlo and sectional grid methods. Macromolecules 2007, 40, 2224–2234.
  • Pladis, P.; Kiparissides, C. A comprehensive model for the calculation of molecular weight long chain branching distribution in free radical polymerizations. Chemical Engineering Science 1998, 53, 3315–3333.
  • Thomas, S. Measurement and modelling of long chain branching. Ph.D. Thesis, McMaster University, 1998.
  • Jones, D.R. A taxonomy of global optimization methods based on response surfaces. Journal of Global Optimisation 2001, 21, 345–383.
  • Nuchitprasittichai, A.; Cremaschi, S. An algorithm to determine sample sizes for optimization with artificial neural networks. AICHE 2012, 59 (3), 805–812.
  • Mogilicharla, A.; Chugh, T.; Majumdar, S.; Mitra, K. Multi-objective optimization of bulk vinyl acetate polymerization with branching. Materials and Manufacturing Processes 2014, 29, 210–217.

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