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 180 for “"Constrained optimization"”.
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Cardinality Constrained Optimization Problems
In this thesis, we examine optimization problems with a constraint that allows for only a certain number of variables to be nonzero. This constraint, which is called a cardinality constraint, has received considerable attention in a number of areas such as machine learning, statistics, …
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Search Techniques for Evolutionary Constrained Optimization
Solving Constrained Optimization Problems (COPs) has been an important research topic in the optimization, operation research, and computer science domains. Over the last few decades, evolutionary algorithms (EAs) have been widely adopted to solve such problems. However the main search operators of …
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Constrained Optimization Problems in Network Models
… deals with solving various application problems. Constrained optimization problems are one of the most important and useful fields of mathematics, particularly in Operations Research. In this thesis, we focus our attention on some mathematical models that are decision problems and which are all …
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Nonlinear contraction tools for constrained optimization
… stability theory for nonlinear systems, and constrained optimization theory. Although dynamic systems and optimization are both areas that have been extensively studied [21], few results have been achieved in this direction because strong enough tools for dynamic systems were not available. …
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Constrained optimization for hierarchical control system design
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1999.
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Stock-constrained optimization of partially disassembled trusses
Reuse of structural components is a relatively unexplored area of research, with a lot of potential environmental impact. Structural reuse significantly reduces new material use, carbon emissions, and construction waste. This thesis shows a novel way of reusing structural components through partial …
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Accelerated algorithms for constrained optimization and control
Nonlinear optimization with equality and inequality constraints is a ubiquitous problem in several optimization and control problems in large-scale systems. Ensuring feasibility along with reasonable convergence to optimal solution remains an open and pressing problem in this area. A class of …
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Constrained Optimization on SO(3), via Pseudospectral Collocation
… and a manifold, and thus demands on-manifold optimization techniques to preserve its geometric structure. Riemannian optimization is enabled by mapping problems to the tangent space through equivariant transformations, with the Cayley map providing a computationally efficient coordinate …
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A binary relation inference network for constrained optimization
Constrained optimization is an essential problem in artificial intelligence, operations research, robotics and very large scale integration hardware design, etc. Many constrained optimization problems are computation-intensive, and yet require fast solutions. This thesis presents a novel parallel …
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Solving Nonlinear Constrained Optimization Problems Through Constraint Partitioning
Our partition-and-resolve approach has achieved substantial improvements over existing methods in AI planning and mathematical programming. We have applied our method to solve some large-scale AI planning problems, as well as some continuous and mixed-integer NLPs in standard benchmarks. We have …
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Pseudonormality and a language multiplier theory for constrained optimization
… computational studies in linear and non-linear optimization and have applications in a wide variety of fields, including communication, networking, economics, and manufacturing. In the past, the main research in Lagrange multiplier theory has focused on developing general and easily verifiable …
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A certified reduced basis approach to PDE-constrained optimization
Parameter optimization problems constrained by partial differential equations (PDEs) appear in many science and engineering applications. The PDE usually describes the underlying system or component behavior, while the parameters identify a particular configurations of the component, such as …
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The Theory and Applications of Discrete Constrained Optimization Using Lagrange Multipliers
… general discrete, continuous and mixed-integer constrained benchmarks, which is a task not achieved by previous methods. DLM has found better multiplierless filter-bank designs that improve over all of Johnston's benchmark designs using a maximum of three to six ONE bits in each filter …
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A constrained optimization approach to control with application to flexible structures
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1996.
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Model-constrained optimization methods for reduction of parameterized large-scale systems
… This thesis proposes and analyzes a model-constrained greedy-based adaptive sampling approach in which the parametric input sampling problem is formulated as an optimization problem that targets an error estimation of reduced model output prediction. The method solves the optimization …
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Multi-objective constrained optimization for decision making and optimization for system architectures
… problems as multi-objective Constraint Optimization Problems (COP) based on their common structures. A set of new algorithms to find Pareto front of multi objective COP is developed by generalizing upon the Conflict-directed A* (CDA*) algorithm for single-objective COPs. Two case studies …
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Algorithms for a constrained optimization problem with applications in statistics and optimum design
Abstract available: p.3-5
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