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Title: Stochastics global optimization methods and their applications in Chemical Engineering
Keywords: Global Optimization; Random Tunneling Algorithm; Differential Evolution; Tabu Search; Differential Evolution with Tabu List
Issue Date: 4-Mar-2008
Citation: MEKAPATI SRINIVAS (2008-03-04). Stochastics global optimization methods and their applications in Chemical Engineering. ScholarBank@NUS Repository.
Abstract: Global optimization and its application is an active research area due to its ability to provide the best possible solutions to the highly non-linear and non-convex objective functions. The broad objective of this study is to develop, apply and evaluate reliable and efficient stochastic global optimization methods for chemical engineering applications. In this study, several popular stochastic global optimization methods, namely random tunneling algorithm (RTA), differential evolution (DE) and tabu search (TS) have been implemented and evaluated for benchmark problems and chemical engineering applications such as phase equilibrium calculations, phase stability problems and parameter estimation in models. Motivated from the deep insight gained from DE and TS, a method, namely, differential evolution with tabu list (DETL) is proposed, and tested for benchmark problems involving 2 to 20 variables and a few to thousands of local minima, phase equilibrium calculations and parameter estimation problems in differential and algebraic systems. The results show that the performance of DETL is better compared to the stand alone DE and TS algorithms. Subsequently, DETL is evaluated for non-linear programming problems (NLPs) and mixed-integer non-linear programming problems (MINLPs) often encountered in chemical engineering. A transformation to enhance the reliability of stochastic global optimization methods is also proposed and implemented for several benchmark problems.
Appears in Collections:Ph.D Theses (Open)

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