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.
Results
Showing 1 to 20 of 25 for “"mixed-integer nonlinear programming"”.
-
On cutting planes for mixed-integer nonlinear programming
Mixed-integer nonlinear programming is a powerful technology that allows us to model and solve problems involving nonlinear functions, continuous, and discrete variables. The state-of-the-art solvers of mixed-integer nonlinear programs (MINLPs) use a combination of, among other techniques, branch- …
-
Two-Stage Stochastic Mixed Integer Nonlinear Programming: Theory, Algorithms, and Applications
… for solving them. Two-stage stochastic programming is one of the powerful modeling tools that allows probabilistic data parameters in mixed integer programming, a well-known tool for optimization modeling with deterministic input data. However, akin to the mixed integer programs, these …
-
Optimization of stationary expansion planning and transient network control by mixed-integer nonlinear programming
… of both problems are located in the field of Mixed-Integer Nonlinear Programming (MINLP). However, global state-of-the-art MINLP solvers are not mature enough to solve or even find primal solutions on large-scale real-world instances since the resulting degree of nonconvexity and nonlinearity …
-
Enhancing tractability of mixed-integer nonlinear programming models: case studies in energy and sports
We address three integer-programming models which are difficult to formulate and solve because, fundamentally, they are mixed-integer, nonlinear programs. These three applications are: (i) design of and dispatch for a forward operating base, or remote military installation, that possesses a …
-
Stochastic Optimization Powered by Markov Chain Monte Carlo: Mixed-Integer Nonlinear Programming for Communications Network Scheduling
… mathematical problems, including those in mixed spaces of continuous and discrete components. In this dissertation, we examine variations of complicated scheduling problems involving allocating spacecraft communication time on a fixed number of antenna resources located at several physical …
-
Learning structure in nested logit models
… of learning an optimal nesting structure as a mixed integer nonlinear programming (MINLP) optimization problem and solve it using a variant of the linear outer approximation algorithm. We demonstrate that it is indeed possible to recover the nesting structure directly from the data by applying …
-
Optimally Locating Facilities with Variable Characteristics
… the latter one. We formulate the first one as a mixed-integer nonlinear programming problem and propose three methods for its solution: a Lagrangean heuristic, a branch-and-bound method with Lagrangean relaxation, and a branch-and-bound method with nonlinear programming relaxation. The …
-
Radio Resource Allocation in Wireless OFDM Systems
… approaches. In our work we consider only integer numbers for bit-loading for practical purpose. The subcarrier, bit and power allocation (SBPA) problem in single-cell and multi-cell OFDMA systems which can be formulated as mixed integer nonlinear programming (MINLP) is generally highly …
-
Balance control and locomotion planning for humanoid robots using nonlinear centroidal models
… presents control and planning approaches using nonlinear low-dimensional models, aimed at mitigating some of the limitations of the LIP. Specically, the contributions are: 1) a closed-form controller and region of attraction analysis for a nonlinear variable-height inverted pendulum model, 2) a …
-
Capacity expansion modeling of water supply in a planning support system for urban growth management
… in two ways: (1) optimal control theory, and (2) mixed integer nonlinear programming (MINLP). Each method has its strengths and weaknesses. In this study the MINLP approach is used because of its strength of determining expansion sizing and timing simultaneously. A dynamic network optimization …
-
Constrained Optimization Problems in Network Models
… of them we formulate the associated linear or nonlinear constrained problems which allows us to solve the decision problems related to the specific applications. The purpose of one of our mathematical models, in this thesis, is to represent a cloud environment. This mathematical model could …
-
Automated feedback in flow for accelerated reaction screening, optimization, and kinetic parameter estimation
… to greatly accelerate convergence of the mixed integer nonlinear programming (MINLP). Examples of real-time simultaneous screening and optimization are explored, including optimal solvent selection in a selective alkylation reaction and optimal palladacycle-ligand precatalyst selection for …
-
Nexus of water and energy: resilience through decentralized operation
… load. To model the energy demand of the WWTP, a mixed-integer nonlinear programming (MINLP) model is developed for the Mines Park wastewater treatment facility located in Golden, CO. This formulation focuses on the operation schedules and speeds of air blowers, which affect the concentration of …
-
Cost Optimization Modeling for Airport Capacity Expansion Problems in Metropolitan Areas
… related to airport capacity problems. Using mixed integer nonlinear programming (MINLP), a deterministic optimization model was developed with the inclusion of six cost functions: capital cost, operation cost, delay cost, noise cost, operation readiness, and airport transfer (ORAT) cost, and …
-
A Patient Risk Minimization Model for Post-Disaster Medical Delivery Using Unmanned Aircraft Systems
… inputs are used to construct a multi-objective mixed-integer nonlinear programming (MOMINLP) optimization model with the primary objective of minimizing total risk for a set of patients. The model includes a secondary aim of route time minimization to ensure optimal fleet deployment but is …
-
Inventory consideration and management in two supply chain problems
… service level. The problem is formulated as a mixed integer nonlinear programming model. Utilizing approximation and transformation techniques, we develop an iterative heuristic method for the problem. An experiment study shows that the proposed procedure performs well in comparison with a …
-
Combining artificial intelligence and robotic system in chemical product/process design
… could be constructed. Furthermore, a modified mixed-integer nonlinear programming (MINLP) formulation for symbolic regression method was proposed for identification of physical models from noisy experimental data. The globally optimal search was extended to identify physical models and to cope …
-
Energy Systems Analysis for a Solar Economy
… requirement for biofuel production. A non-convex mixed integer nonlinear programming (MINLP) model allowing for simultaneous mass, heat, and power integration, is built over a process superstructure and solved using global optimization tools. As a case study, we consider biomass thermochemical …
-
Planificación estática de la red eléctrica de transporte mediante algoritmos genéticos
… to obtain because it requires the solution of a mixed integer nonlinear programming problem. As the problem is non-convex, there is a set of local minima, so that the use of classical methods of mathematical programming hardly results in the global optimum. DC model is used to represent the power …
-
Multi-Dimensional QoS and Collaborative MAC Layer Design for Dense, Diverse, and Dynamic IoT Network
… and link adaptation becomes an NP-hard Mixed-Integer Nonlinear Programming (MINLP) problem. To enable the timely adjustment of Link Adaptation, this thesis also proposes a Collaborative Link Adaptation (CLA), which decomposes the optimization problem and utilizes distributed processing …
Page 1 of 2