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Optimization Theory in Administrative Analysis

Description: The thesis of this study is that modern optimization theory is a natural extension of classical optimization theory. As such, modern optimization theory will be applied to administrative problems only after interpretive studies are made that provide (1) an explanation of the general theoretical development of the techniques of modern optimization theory, (2) computational algorithms for implementing the techniques of modern optimization theory, (3) detailed demonstrations of the computational a… more
Date: August 1970
Creator: Brown, Kenneth Sherron
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
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Development of a new adaptive ordinal approach to continuous-variable probabilistic optimization.

Description: A very general and robust approach to solving continuous-variable optimization problems involving uncertainty in the objective function is through the use of ordinal optimization. At each step in the optimization problem, improvement is based only on a relative ranking of the uncertainty effects on local design alternatives, rather than on precise quantification of the effects. One simply asks ''Is that alternative better or worse than this one?'' -not ''HOW MUCH better or worse is that alterna… more
Date: November 1, 2006
Creator: Romero, Vicente JosÔe & Chen, Chun-Hung (George Mason University, Fairfax, VA)
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
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Optimization environments and the NEOS server

Description: The authors are interested in the development of problem-solving environments that simplify the formulation of optimization problems, and the access to computational resources. Once the problem has been formulated, the first step in solving an optimization problem in a typical computational environment is to identify and obtain the appropriate piece of optimization software. Once the software has been installed and tested in the local environment, the user must read the documentation and write … more
Date: March 1, 1997
Creator: Gropp, W. & More, J. J.
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department

Advanced Distributed Optimization and Control Algorithms: Theory and Applications

Description: Networked multi-agent systems have attracted lots of researchers to develop algorithms, techniques, and applications.A multi-agent networked system consists of more than one subsystem (agent) to cooperately solve a global problem with only local computations and communications in a fully distributed manner. These networked systems have been investigated in various different areas including signal processing, control system, and machine learning. We can see massive applications using networked s… more
Date: May 2022
Creator: Zhang, Shengjun
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
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[SIAM conference on optimization]

Description: Abstracts are presented of 63 papers on the following topics: large-scale optimization, interior-point methods, algorithms for optimization, problems in control, network optimization methods, and parallel algorithms for optimization problems.
Date: May 10, 1992
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
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[SIAM conference on optimization]

Description: Abstracts are presented of 63 papers on the following topics: large-scale optimization, interior-point methods, algorithms for optimization, problems in control, network optimization methods, and parallel algorithms for optimization problems.
Date: May 10, 1992
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
open access

OPTIMIZING THROUGH CO-EVOLUTIONARY AVALANCHES

Description: We explore a new general-purpose heuristic for finding high-quality solutions to hard optimization problems. The method, called extremal optimization, is inspired by ''self-organized critically,'' a concept introduced to describe emergent complexity in many physical systems. In contrast to Genetic Algorithms which operate on an entire ''gene-pool'' of possible solutions, extremal optimization successively replaces extremely undesirable elements of a sub-optimal solution with new, random ones. L… more
Date: August 1, 2000
Creator: BOETTCHER, S. & PERCUS, A.
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
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Enumerating a Diverse Set of Building Designs Using Discrete Optimization: Preprint

Description: Numerical optimization is a powerful method for identifying energy-efficient building designs. Automating the search process facilitates the evaluation of many more options than is possible with one-off parametric simulation runs. However, input data uncertainties and qualitative aspects of building design work against standard optimization formulations that return a single, so-called optimal design. This paper presents a method for harnessing a discrete optimization algorithm to obtain signifi… more
Date: August 1, 2010
Creator: Hale, E. & Long, N.
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
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Combining local search with co-evolution in a remarkably simple way

Description: The authors explore a new general-purpose heuristic for finding high-quality solutions to hard optimization problem. The method, called extremal optimization, is inspired by self-organized criticality, a concept introduced to describe emergent complexity in physical systems. In contrast to genetic algorithms, which operate on an entire gene-pool of possible solutions, extremal optimization successively replaces extremely undesirable elements of a single sub-optimal solution with new, random one… more
Date: May 1, 2000
Creator: Boettcher, S. & Percus, A.
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
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Topology and Lattice-Based Structural Design Optimization for Additively Manufactured Medical Implants

Description: Topology-based optimization techniques and lattice structures are powerful ways to accomplish lightweight components with enhanced mechanical performance. Recent developments in additive manufacturing (AM) have led the way to extraordinary opportunities in realizing complex designs that are derived from topology and lattice-based structural optimization. The main aim of this work is to give a contribution, in the integration between structural optimization techniques and AM, by proposing a setu… more
Date: May 2019
Creator: Peto, Marinela
Item Type: Refine your search to only Thesis or Dissertation
Partner: UNT Libraries
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Final Report-Optimization Under Uncertainty and Nonconvexity: Algorithms and Software

Description: The goal of this research was to develop new algorithmic techniques for solving large-scale numerical optimization problems, focusing on problems classes that have proven to be among the most challenging for practitioners: those involving uncertainty and those involving nonconvexity. This research advanced the state-of-the-art in solving mixed integer linear programs containing symmetry, mixed integer nonlinear programs, and stochastic optimization problems.
Date: October 10, 2008
Creator: Linderoth, Jeff
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
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Utilizing object-oriented design to build advanced optimization strategies with generic implementation

Description: the benefits of applying optimization to computational models are well known, but their range of widespread application to date has been limited. This effort attempts to extend the disciplinary areas to which optimization algorithms may be readily applied through the development and application of advanced optimization strategies capable of handling the computational difficulties associated with complex simulation codes. Towards this goal, a flexible software framework is under continued develo… more
Date: August 1, 1996
Creator: Eldred, M. S.; Hart, W. E.; Bohnhoff, W. J.; Romero, V. J.; Hutchinson, S. A. & Salinger, A. G.
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
open access

Optical Design Using an Expert System

Description: We present, as a different perspective on optimization, an expert system for optimization of optical systems that can be used in conjunction with damped least squared methods to find minima for specific design forms. Expert system optimization differs from global optimization in that it preserves the basic structure of the optical system and limits its search for a minima to a relatively small portion of the design space. In general, the high density of local minima obscures the general trend o… more
Date: August 1, 2003
Creator: Lerner, S A
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
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The network-enabled optimization system server

Description: Mathematical optimization is a technology under constant change and advancement, drawing upon the most efficient and accurate numerical methods to date. Further, these methods can be tailored for a specific application or generalized to accommodate a wider range of problems. This perpetual change creates an ever growing field, one that is often difficult to stay abreast of. Hence, the impetus behind the Network-Enabled Optimization System (NEOS) server, which aims to provide users, both novice … more
Date: August 1, 1995
Creator: Mesnier, M.P.
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
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Automated Multivariate Optimization Tool for Energy Analysis: Preprint

Description: Building energy simulations are often used for trial-and-error evaluation of ''what-if'' options in building design--a limited search for an optimal solution, or ''optimization''. Computerized searching has the potential to automate the input and output, evaluate many options, and perform enough simulations to account for the complex interactions among combinations of options. This paper describes ongoing efforts to develop such a tool. The optimization tool employs multiple modules, including … more
Date: July 1, 2006
Creator: Ellis, P. G.; Griffith, B. T.; Long, N.; Torcellini, P. A. & Crawley, D.
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
open access

Efficient Global Optimization Under Conditions of Noise and Uncertainty - A Multi-Model Multi-Grid Windowing Approach

Description: Incomplete convergence in numerical simulation such as computational physics simulations and/or Monte Carlo simulations can enter into the calculation of the objective function in an optimization problem, producing noise, bias, and topo- graphical inaccuracy in the objective function. These affect accuracy and convergence rate in the optimization problem. This paper is concerned with global searching of a diverse parameter space, graduating to accelerated local convergence to a (hopefully) glob… more
Date: May 18, 1999
Creator: Romero, Vicente J.
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
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DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis.

Description: The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic expansion methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter … more
Date: December 1, 2011
Creator: Eldred, Michael Scott; Vigil, Dena M.; Dalbey, Keith R.; Bohnhoff, William J.; Adams, Brian M.; Swiler, Laura Painton et al.
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

Application of optimization to the inverse problem of finding the worst-case heating configuration in a fire

Description: Thermal optimization procedures have been applied to determine the worst-case heating boundary conditions that a safety device can be credibly subjected to. There are many interesting aspects of this work in the areas of thermal transport, optimization, discrete modeling, and computing. The forward problem involves transient simulations with a nonlinear 3-D finite element model solving a coupled conduction/radiation problem. Coupling to the optimizer requires that boundary conditions in the the… more
Date: July 1, 1995
Creator: Romero, V.J.; Eldred, M.S.; Bohnhoff, W.J. & Outka, D.E.
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
open access

EMOTION-III Model: A Theoretical Framework for Social Empathic Emotions in Autonomous Control Systems

Description: In this article, a theoretical model of social empathic emotion is derived based on the principles of survival by extending the maximization of self-gains to include others as an extended-self. This extended-self model of optimization for survival provides the computational mechanisms in the optimization process to maximize self-gains without minimizing the gains (or maximizing losses) for the other individuals. Thus, it can resolve conflicts in a competitive environment, and change the social … more
Date: July 29, 2016
Creator: Tam, Nicoladie D.
Item Type: Refine your search to only Article
Partner: UNT College of Arts and Sciences
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