149 resultados para AMPL


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Dissertação para obtenção do Grau de Mestre em Engenharia Química e Bioquímica

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Publicado en la página web de la Consejería de Salud y Bienestar Social: www.juntadeandalucia.es/salud (Consejería de Salud y Bienestar Social / Ciudadanía / Nuestra Salud / Medio ambiente y Salud / Productos Químicos y riesgos sanitarios)

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Arkit: 2 arkintunnuksetonta lehteä, A-B8.

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Come il titolo suggerisce, due sono gli aspetti oggetto di questo elaborato: i modelli e gli algoritmi (con le rispettive criticità), e il linguaggio di modellazione AMPL. Il filo conduttore che integra le due parti, nonché mezzo ultimo per un’applicazione pratica dell’attività di modellazione, è l’ottimizzatore, la ”macchina” che effettua la risoluzione vera e propria dei suddetti modelli.

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Respondents: ii. Petrus Ahlquist -- iii. David Theolander-- iv. Adolph. Alexanderson -- v. Harald. Sjoeborg -- v. cont. N. Lofberg -- vi. Carolus Fr. Bodach -- vi. cont. H.M. Melin -- vii. cont. II. Johannes E. Ringius -- vii. Alexis Eduard Lindblom.

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Library of Congress collection: Dissertationes academicae (Linné) no. 13.

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The main goal of this work is to solve mathematical program with complementarity constraints (MPCC) using nonlinear programming techniques (NLP). An hyperbolic penalty function is used to solve MPCC problems by including the complementarity constraints in the penalty term. This penalty function [1] is twice continuously differentiable and combines features of both exterior and interior penalty methods. A set of AMPL problems from MacMPEC [2] are tested and a comparative study is performed.

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Mathematical Program with Complementarity Constraints (MPCC) finds many applications in fields such as engineering design, economic equilibrium and mathematical programming theory itself. A queueing system model resulting from a single signalized intersection regulated by pre-timed control in traffic network is considered. The model is formulated as an MPCC problem. A MATLAB implementation based on an hyperbolic penalty function is used to solve this practical problem, computing the total average waiting time of the vehicles in all queues and the green split allocation. The problem was codified in AMPL.

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In this work we solve Mathematical Programs with Complementarity Constraints using the hyperbolic smoothing strategy. Under this approach, the complementarity condition is relaxed through the use of the hyperbolic smoothing function, involving a positive parameter that can be decreased to zero. An iterative algorithm is implemented in MATLAB language and a set of AMPL problems from MacMPEC database were tested.