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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
291

ESTIMATION AND CONTROL WITH APPLICATIONS TO DIFFERENTIAL GAMES

Nordahl, Donald Marvin 1942- January 1968 (has links)
No description available.
292

HYBRID COMPUTER OPTIMIZATION OF SYSTEMS WITH RANDOM PARAMETERS

White, Robert Cantey, 1942- January 1970 (has links)
No description available.
293

A state variable approach to adaptive control systems

Singh, Ajeet, 1942- January 1967 (has links)
No description available.
294

Stochastic optimal estimation and control for discrete linear systems with multiple time delays

El-Dahash, Abdulrahman Mohammed, 1943- January 1973 (has links)
No description available.
295

Stochastic optimization approaches to open pit mine planning : applications for and the value of stochastic approaches

Nascimento Leite, Andre. January 2008 (has links)
The mine production schedule defines the sequence of extraction of selected mine units over the life of the mine, and consequentially establishes the ore supply and total material movement. This sequence should be optimized so as to maximize the overall discounted value of the project. Conventional schedule approaches are unable to incorporate grade uncertainty into the scheduling problem formulation and may lead to serious deviations from forecasted production targets. Stochastic mine production schedulers are considered to obtain more robust mine production schedule solutions. / The application of stochastic approaches to the mine production schedule problem is recent and additional testing is required to better understand these tools and to define the value of a stochastic solution as compared to the conventional result. Two stochastic schedulers are tested in a low-grade variability copper deposit, optimization parameters are discussed and their results compared with a conventional schedule. / The first method uses a stochastic combinatorial optimization approach based on simulated annealing to address the mine production schedule problem. The method aims for maximization of the net present value (NPV) of the project and minimization of deviations from the production targets. These objectives are attained by incorporating grade uncertainty into the mine production schedule problem formulation. The second method formulates the problem as a stochastic integer programming problem, in which the objective is the maximization of the projects' NPV and the minimization of production targets deviations. The model can also manage how the risk of deviating from the targets is distributed between production periods. / Both stochastic approaches were tested in a low-grade variability copper deposit. In both case studies, the value of a stochastic solution is demonstrated to be higher than the conventional one. This fact demonstrated the misleading results that a conventional schedule may produce and shows the importance of not ignoring the presence of uncertainty when defining the mine production schedule for a project.
296

Crew scheduling, cutting stock, and column generation : Solving huge integer programs

Vance, Pamela H. 08 1900 (has links)
No description available.
297

Behavior of fork-join networks, and effect of variability in service systems

Ko, Sung-Seok 08 1900 (has links)
No description available.
298

Simulation-based methods for stochastic optimization

Homem de Mello, Tito 08 1900 (has links)
No description available.
299

Near-optimal intelligent control for continuous set-point regulator problems via approximate dynamic programming

Hearnes, Warren E., II 08 1900 (has links)
No description available.
300

Conflict graphs and flow models for mixed-integer linear optimization problems

Atamtürk, Alper 08 1900 (has links)
No description available.

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