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 16 of 16 for “"Constraint optimization"”.
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Synthesis constraint optimization for near-threshold voltage design
… the microcontroller with the minimum design constraint gives us the best performance and energy consumption. We also run Monte Carlo simulation to show the estimated yield rate of the suggested design points.
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A constraint optimization framework for discovery of cellular signaling and regulatory networks
Cellular signaling and regulatory networks underlie fundamental biological processes such as growth, differentiation, and response to the environment. Although there are now various high-throughput methods for studying these processes, knowledge of them remains fragmentary. Typically, the majority …
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Estimating Costs of Reducing Environmental Emissions From a Dairy Farm: Multi-objective epsilon-constraint Optimization Versus Single Objective Constrained Optimization
… harm water quality. We conduct a multi-objective optimization analysis for a representative dairy farm with two different approaches: nonlinear programming (NLP) and ϵ-constraint optimization to evaluate trade-offs among reduction of multiple pollutants including nitrogen (N), phosphorus (P), …
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Applying integer programming techniques to find minimum integer weights of voting games
… amount of time. First, coalitions are mapped to constraints, reducing the problem to constraint optimization. The optimization techniques used are Gomory's all-integer simplex algorithm and a variant of the popular integer programming method branch and bound. Theoretical results include that …
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Constraint Solving and Optimizationn Using Nature-Inspired Techniques
Constraint solving and optimization is tackled by scientists in almost every area, including scheduling and planning, configuration, resource allocation, finance, computational biology and machine learning. Since classical systematic and mathematical methods cannot effectively provide suitable …
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Dual Constraint Problem Optimization Using A Natural Approach: Genetic Algorithm and Simulated Annealing
Constraint optimization problems with multiple constraints and a large solution domain are NP hard and span almost all industries in a variety of applications. One such application is the optimization of resource scheduling in a "pay per use" grid environment. Charging for these resources based on …
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Reasoning with imprecise trade-offs in decision making under certainty and uncertainty
… objective functions is known as multi-objective optimization. In multi-objective optimization, we have a (possibly exponentially large) set of decisions and each decision has a set of alternatives. Each alternative depends on the state of the world, and is evaluated with respect to a number of …
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Model-based monitoring and diagnosis of systems with software-extended behavior
… work introduced probabilistic, hierarchical, constraint automata (PHCA), to allow compact encoding of both hardware and software behavior. The contribution of this thesis is a capability for monitoring and diagnosing software-extended systems in the presence of delayed symptoms, based on the …
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Large Scale Information Integration on the Web: Finding, Understanding and Querying Web Databases
… OPT* framework processes ranked queries by a k constraint optimization problem. We evaluate our techniques upon real databases on the Web. The experiment results show the promise of our system."
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Multi-objective constrained optimization for decision making and optimization for system architectures
… model decisionmaking 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 …
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Generalized conflict learning for hybrid discrete/linear optimization
… these applications there is a series of discrete constraint optimization problems and a conflict-directed search algorithm, which uses conflicts in the forward search step to focus search away from known infeasibilities and towards the optimal solution. In the arena of model-based autonomy, …
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Oligonucleotide design and codon optimization for PCR-based gene synthesis
… can theoretically be extended and used with constraint optimization algorithms to solve the more difficult problem of simultaneously optimizing codon usage and designing oligonucleotides for synthesis.
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Finding optimal alternatives based on efficient comparative preference inference
… tasks that involve a process of constrained optimization, that is, optimization of behavior or options subject to given constraints with regards to a set of preferences. When solving a constrained optimization problem, pruning techniques, such as the branch and bound technique, point at …
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Smart charging strategies for electric vehicle charging stations
… between residential and charging loads. A constraint optimization problem is formulated and a heuristic solution is introduced to minimize the overlap between the PEV and residential peak load periods. In the last part of this thesis, a smart management strategy for portable charging …
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Mother Tree Optimization for Solving Continuous and Discrete Optimization Problems
Continuous and discrete optimization problems play a signi cant role in di erent academic and industrial disciplines. The main objective of a constraint optimization process is to nd a solution for a problem, that satis es a set of constraints while optimizing a given objective function. The exact …
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Decentralised control of wireless sensor networks
… algorithms to solve this distributed constraint optimization problem. The first assumes that the route by which data is forwarded to the base station is fixed (either because the underlying communication network is a tree, or because an arbitrary choice of route has been made) and then …