Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 35 for “"NON-LINEAR PROGRAMMING"”.
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Application-oriented Mixed Integer Non-Linear Programming
… there is a renovate interest for Mixed Integer Non-Linear Programming (MINLP) problems. This can be explained for different reasons: (i) the performance of solvers handling non-linear constraints was largely improved; (ii) the awareness that most of the applications from the real-world can be …
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An Inquiry Into the Contributions and Limitations of Research for a Modelof the Optimum Organizational Structure--a Non-Linear Programming Model for Optimizing Structural Dimensions of Unitary Organizations
Made available in DSpace on 2014-12-09T17:53:02Z (GMT). No. of bitstreams: 1 6915261.pdf: 13270832 bytes, checksum: 1369f7f137a0f57693205e5c396111d7 (MD5) Previous issue date: 1969
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Estimations of Relative Risk: Simulation Comparisons of Popular Methods In Sas and R
… appears a lot of discussion on how to solve the non-convergence problem of estimating RR/PR in the log binomial model, which motivates the simulation study in this thesis. Specifically, we compare the most popular methods of estimating RR/PR, which include the crude method, the conversion method, …
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Interactive Optimization Programs for Initial Propeller Design
… design propeller optimization using constrained non- linear programming. The process uses the Nelder-Mead simplex algorithm. The Wageningen B-series optimal propeller selection is presented along with the combined annular momentum theory and blade element theory optimization. Both techniques …
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Interval based MINLP superstructure synthesis of heat and mass exchange networks
… superstructure is optimised as a mixed integer non linear programming (MINLP) model. The superstructure is hot/rich streams based if hot/rich streams are used to define the intervals otherwise it is cold/lean stream based.
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Elementos finitos para a análise limite de cascas axissimétricas via programação não-linear
… is reduced to a simple application of the non-linear programming technique where the sequential unconstrained minimization technique (SUMT), the generalized reduced gradient method and the tolerance flexible method are utilized for statically admissible and kinematically admissible …
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On the solution of a class of capital investment problems
… considered within the framework of mathematical programming. Upon the basis of the net present value criterion, the problems in question are mainly characterized by the fact that the cost of capital is defined as a non-decreasing function of the investment requirements. Capital rationing and some …
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Optimizing the B.O.B.
… routing problem to develop a binary integer linear programming model. This allowed us to determine a new set of routes that minimize total travel time across the routes. Next, we developed an integer non-linear programming model to assign a set of buses to each of the new routes, with the …
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Trajectory optimization for a fixed trim re-entry vehicle using direct collocation with nonlinear programming
… optimization problem is solved using the MINOS non-linear programming software package. The resulting collocation guidance software is tested using data for the Kistler K-1 vehicle system and an existing vehicle simulation. Mass, wind, density, and entry angle dispersions are considered, as are …
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A new numerical optimization method based on Taylor series for challenging trajectory optimization problems
… optimization problem that can be solved with non-linear programming. In direct transcription the system equations must be converted into algebraic constraints. Existing methods use only zeroth and first order derivatives of the system equations to formulate these constraints. The techniques of …
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Development of Aerial-Ground Sensing Network: Architecture, Sensor Activation, and Spatial Path-Energy Optimization
… ground-sensor data. An improved mixed-integer non-linear programming approach is proposed for solving the optimal spatial path-energy using the framework of the traveling-salesman problem with neighborhoods.
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Fixed order controller design via linear programming
… controller design process employing mathematical programming is developed in this thesis. The design process is based on fixed order pole assignment problem. Natural frequencies and minimum damping ratio are the design parameters of the developed controller design process. The design parameters …
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The Non-Linear PARallel OPtimization Tool (NLPAROPT): A Software Overview and Efficiency Analysis
… constrained optimization formulations is the Non-Linear Programming (NLP) problem. NLP problem solvers have been used to analyze complex optimization problems by space mission designers as well as a wide variety of other fields such as economics and city planning. There are several …
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Prediction of waiting time for entities in independent and merged queues using Markov chain and machine learning techniques
… and the merge queue line. For the first model, a non-linear programming model is presented by combining resource planning concepts and queueing theory. The non-linear model helps with minimizing the weighted sum of average waiting times by assigning servers to different priority groups. Also, we …
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Quadratic programming as an extension of linear programming
In the past two decades Mathematical Programming has come to occupy a place of importance in Economic Studies and in Operations Research. Roughly speaking, Mathematical Programming is the analysis of problems of the type: "Find the maximum of a function, when the variables are subject to inequality …
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Response surface methods applied to submarine concept exploration
… the difficultly is the design space, which is non-linear, discontinuous, and bounded by a variety of constraints, goals, and thresholds. Then the design process itself is difficult to optimize because of the coupling among decomposed engineering disciplines and sub-system interactions. These …
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Design and Implementation of An Emulation Testbed for Optimal Spectrum Sharing in Multi-hop Cognitive Radio Networks
… problem formulation falls into mixed integer non-linear programming (MINLP), which is NP-hard in general, we develop a lower bound for the objective by relaxing the integer variables and linearization. Subsequently, we develop a nearoptimal algorithm to this MINLP problem. This algorithm is …
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Material transport system design in manufacturing
… major decisions are handled by a mixed integer non-linear programming (MINLP) formulation. Relaxation techniques are applied to linearize the model. The solution of the resulting linear formulation (MILP) provides a lower bound to that of MINLP. A tightened formulation reduces the computational …
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Optimal strategies for selecting from multiple asteroid interception targets
… swarm optimization (PSO) and a commercial non-linear programming (NLP) solver SNOPT (Sparse Nonlinear OPTimizer). The problem considers an intercepting vehicle and three bodies of interest, only one of which can be intercepted. The resulting optimal trajectory must maximize the amount of …
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Domestic wheat demand in a deregulated environment: modeling the importance of quality characteristics
… Thus, a demand orientated cost minimising non-linear programming model (Input Characteristic Model) is developed which evaluates the demand for different wheat sources as a function of their quality characteristic levels, characteristic variances and prices. The quality characteristic data …
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