Numerical Method for Heat Transfer under Chance Constrained State Variables

dc.contributor.advisorAbebaw Tilahun (PhD)
dc.contributor.advisorSani Mohammed
dc.contributor.authorAmare Getinet
dc.date.accessioned2019-04-25T10:02:10Z
dc.date.accessioned2023-11-04T12:30:47Z
dc.date.available2019-04-25T10:02:10Z
dc.date.available2023-11-04T12:30:47Z
dc.date.issued2017-11-06
dc.description.abstractStochastic chance-constrained programming is mainly concerned with the problem that the decision maker must give his solution before the random variables come true. In this problem, the probability of decision satisfying the constraints cannot be less than some given probability level, or reliability level or con dence level . There are two main di culties with such chance-constrained problems. First, checking feasibility of a given candidate solution exactly is impossible in general. Second, the feasible region induced by chance constraints is, in general, non-convex leading to severe optimization challenges. Chance constrained optimization problems in engineering applications possess highly non-linear process models and non-convex structures. As a result, solving a non-linear non-convex chance constrained optimization (CCOPT) problem remains as a challenging task. The major di culty lies in the evaluation of probability values and gradients of inequality constraints which are non-linear functions of stochastic variables. This thesis will focus on Inner-Outer smooth analytic approximation to improve tractability of non-convex chance constraints. Also this thesis is devoted to an example of optimization problems that include PDEs constraint in the case of heat transfer by implementing the Inner-Outer approximation scheme.en_US
dc.identifier.urihttp://etd.aau.edu.et/handle/123456789/18147
dc.language.isoenen_US
dc.publisherAddis Ababa Universityen_US
dc.subjectStochastic Optimal Controlen_US
dc.subjectProbability Constrainten_US
dc.subjectChance constrained optimization and Analytic approximationen_US
dc.titleNumerical Method for Heat Transfer under Chance Constrained State Variablesen_US
dc.typeThesisen_US

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