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Title: New Strategies for Global Optimization of Chemical Engineering Applications by Differential Evolution
Keywords: Global optimization, Differential evolution, Stopping criteria, Constraint handling,Parameter self-adaption, Chemical engineering applications
Issue Date: 19-Jan-2012
Citation: ZHANG HAIBO (2012-01-19). New Strategies for Global Optimization of Chemical Engineering Applications by Differential Evolution. ScholarBank@NUS Repository.
Abstract: Global optimization is highly important since the real life optimization problems are nonlinear and non-convex in nature. However, development of global optimization algorithm remains challenging as there are several issues that need to be addressed. This thesis focuses on the development of an efficient, reliable and robust stochastic global optimization technique and its application to chemical engineering problems. The proposed integrated differential evolution (IDE) algorithm features parameter self-adaption, use of tabu list, stopping criterion and local search. Furthermore, a self-adaptive constraint relaxation method is proposed to handle constraints. Subsequently, the developed algorithm is used to solve the important chemical engineering application such as parameter estimation problems in vapor-liquid equilibrium modeling and in nonlinear dynamic systems, phase equilibrium and stability problems and pooling problems. Finally, IDE is modified to handle both discrete and continuous variables, and it is applied to heat exchanger network retrofitting via one-step approach.
Appears in Collections:Ph.D Theses (Open)

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