Parameter Identification and Optimization of Chemical Processes

Jili Tao (), Ridong Zhang () and Yong Zhu ()
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Jili Tao: NingboTech University, School of Information Science and Engineering
Ridong Zhang: Hangzhou Dianzi University, The Belt and Road Information Research Institute
Yong Zhu: NingboTech University, School of Information Science and Engineering

Chapter Chapter 5 in DNA Computing Based Genetic Algorithm, 2020, pp 101-118 from Springer

Abstract: Abstract Because of the complex nonlinear characteristics of chemical processes, traditional numerical optimization algorithms generally cannot be used to solve the modeling and optimization problems. In this chapter, the estimation of model parameters for heavy oil thermal cracking is firstly solved by RNA-GA. Then, we use DNA-DHGA to solve the recipe optimization problem of gasoline blending with heavy nonlinear inequality constraints. DNA computing based GAs are efficient in solving the optimization problems in chemical processes.

Date: 2020
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DOI: 10.1007/978-981-15-5403-2_5

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