نتایج جستجو برای: mixed integer nonlinear

تعداد نتایج: 472791  

2007
Claus Still

This paper presents a new algorithm for solving mixed integer nonlinear programming problems. The algorithm uses a branch and bound strategy where a nonlinear programming problem is solved in each integer node of the tree. The nonlinear programming problems, at each integer node of the tree, are not solved to optimality, rather one iteration step is taken at each node and then linearizations of...

Journal: :Optimization Methods and Software 2015
Marc E. Pfetsch Armin Fügenschuh Björn Geißler Nina Geißler Ralf Gollmer Benjamin Hiller Jesco Humpola Thorsten Koch Thomas Lehmann Alexander Martin Antonio Morsi Jessica Rövekamp Lars Schewe Martin Schmidt Rüdiger Schultz Robert Schwarz Jonas Schweiger Claudia Stangl Marc C. Steinbach Stefan Vigerske Bernhard M. Willert

In this article we investigate methods to solve a fundamental task in gas transportation, namely the validation of nomination problem: Given a gas transmission network consisting of passive pipelines and active, controllable elements and given an amount of gas at every entry and exit point of the network, find operational settings for all active elements such that there exists a network state m...

2013
A. N. Tarău B. De Schutter J. Hellendoorn

State-of-the-art baggage handling systems transport luggage in an automated way using destination coded vehicles (DCVs). These vehicles transport the bags at high speeds on a “mini” railway network. In this paper we consider the problem of controlling the route of each DCV in the system. This is a nonlinear, nonconvex, mixed integer optimization problem. Nonlinear model predictive control (MPC)...

Journal: :J. Global Optimization 2009
Christodoulos A. Floudas Chrysanthos E. Gounaris

This paper presents an overview of the research progress in deterministic global optimization during the last decade (1998–2008). It covers the areas of twice continuously differentiable nonlinear optimization, mixed-integer nonlinear optimization, optimization with differential-algebraic models, semi-infinite programming, optimization with grey box/nonfactorable models, and bilevel nonlinear o...

2010
Antonio Flores-Tlacuahuac Ignacio E. Grossmann

In this work we propose a simultaneous scheduling and control optimization formulation to address both optimal steady-state production and dynamic product transitions in multiproduct tubular reactors working in several parallel production lines. Because the problem involves integer and continuous variables and the dynamic behavior of the underlying system the resulting optimization problem is c...

2010
LEO LIBERTI

Symmetry is mainly exploited in mathematical programming in order to reduce the computation times of enumerative algorithms. The most widespread approach rests on: (a) finding symmetries in the problem instance; (b) reformulating the problem so that it does not allow some of the symmetric optima; (c) solving the modified problem. Sometimes (b) and (c) are performed concurrently: the solution al...

Journal: :Adv. Operations Research 2012
Lakdere Benkherouf Dalal Boushehri

This paper is concerned with the problem of finding the optimal production schedule for an inventory model with time-varying demand and deteriorating items over a finite planning horizon. This problem is formulated as a mixed-integer nonlinear program with one integer variable. The optimal schedule is shown to exist uniquely under some technical conditions. It is also shown that the objective f...

2012
H. Mahboubi B. Moshiri A. Khaki

Recently, a great amount of interest has been shown in the field of modeling and controlling hybrid systems. One of the efficient and common methods in this area utilizes the mixed logicaldynamical (MLD) systems in the modeling. In this method, the system constraints are transformed into mixed-integer inequalities by defining some logic statements. In this paper, a system containing three tanks...

Journal: :Algorithmic Operations Research 2009
Maria Elena Bruni Patrizia Beraldi Domenico Conforti

This paper addresses the class of nonlinear mixed integer stochastic programming problems. In particular, we consider two-stage problems with nonlinearities both in the objective function and constraints, pure integer first stage and mixed integer second stage variables. We exploit the specific problem structure to develop a global optimization algorithm. The basic idea is to decompose the orig...

Journal: :Discrete Optimization 2007

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