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 44 for “"Genetic algorithms (GAs)"”.
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Application of differential evolution to power system stabilizer design
In recent years, many Evolutionary Algorithms (EAs) such as Genetic Algorithms (GAs) have been proposed to optimally tune the parameters of the PSS. GAs are population based search methods inspired by the mechanism of evolution and natural genetic. Despite the fact that GAs are robust and have …
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Data Mining with Newton's Method.
<p>Capable and well-organized data mining algorithms are essential and fundamental to helpful, useful, and successful knowledge discovery in databases. We discuss several data mining algorithms including genetic algorithms (GAs). In addition, we propose a modified multivariate Newton's method (NM) …
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Automated test sequence generation for finite state machines using genetic algorithms
… conditions and a number of fitness function algorithms are defined. An empirical study of the effectiveness on real FSA based systems and example FSAs provides some interesting positive results. The use of genetic algorithms (GAs) makes these problems scalable for large FSAs. The experiments …
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Optimized clean hydrogen production using nuclear small modular reactor and concentrated solar power as a renewable energy source
… fuel and energy source by decreasing greenhouse gas (GHG) emissions. In this research an integral Pressurized Water Reactor-type Small Modular Reactor (iPWR-type SMR), connected to a molten-salt based Concentrated Solar Power (CSP) plant, producing electricity and hydrogen is investigated …
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An adaptive fuzzy logic controller for intelligent networking and control
… Logic Controller is automatically generated by Genetic Algorithms (GAs). The fuzzy rules generated by the integrated Fuzzy Logic and Genetic Algorithm architecture is found to be effective in optimising the traffic flow. The effectiveness of the above fuzzy control scheme is established through …
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The synthesis of hybrid mechanisms using genetic algorithms.
… for the synthesis of hybrid mechanisms using Genetic Algorithms. GAs are a search and optimisation method which model the mechanics of population genetics to give a truly global search method. In parallel to the development of a suitable GA, the work also develops novel objective function …
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Evolution of the southern pine beetle legacy simulation model "SPBMODEL" using genetic algorithms
… and is currently accessible via a servlet. Genetic algorithms (GAs) were applied to the Javahog model. GAs are a type of optimization heuristic that operate as an analog to evolution. GAs "evolve" a very good solution to a complex problem. In this case, GAs were intended to evolve a very …
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Characterizing software components using evolutionary testing and path-guided analysis
… First, this thesis demonstrates how ET and genetic algorithms (GAs), which are search heuristic mechanisms for solving optimization problems using mutation, crossover, and natural selection, can be combined with a constraint solver to target specific paths in the software. Secondly, this …
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Enhancing roll stability and directional performance of articulated heavy vehicles based on anti-roll control and design optimization.
… A design optimization method for AHVs using genetic algorithms (GAs) and multibody vehicle system models is also presented. AHVs have poor manoeuvrability when travelling at low speeds on local roads and city streets. On the other hand, these vehicles exhibit unstable motion modes at high …
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A Methodology For Minimizing The Oscillations In Supply Chains Using System Dynamics And Genetic Algorithms
… of the techniques of System Dynamics (SD) and Genetic Algorithms (GAs). System dynamics is a very efficient tool to model large and complex systems in order to understand their complex, non-linear dynamic behavior. GAs are stochastic search algorithms, based on the mechanics of natural …
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Behavioural synthesis of analogue integrated circuits
… Design Automation (EDA) in recent decades. Genetic Algorithms (GAs) are biologically inspired search algorithms which have previously shown some promise in this field. Their ability to form the basis of a practically useful synthesis system is investigated. A GA-based experimental synthesis …
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Aspects of modelling and simulation of genetic algorithms : a formal approach
Genetic algorithms (GAs) are widely used in solving search and optimisation problems involving very large search spaces, or very many variables where closed form solutions are impractical due to the very size of the problems. This dissertation combines the two salient features of GAs, namely the …
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Designing Efficient and Accurate Parallel Genetic Algorithms
Parallel implementations of genetic algorithms (GAs) are common, and, in most cases, they succeed to reduce the time required to find acceptable solutions. However, the effect of the parameters of parallel GAs on the quality of their search and on their efficiency are not well understood. This …
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Computational Design of Microvascular Biomimetic Materials
… work, we propose to design these materials using Genetic Algorithms (GAs), the most common methodology within a broader category of Evolutionary Algorithms (EAs). GAs can be combined with a Pareto-selection mechanism to create Multi-Objective Genetic Algorithms (MOGAs), which enable the …
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Hybrid Genetic Algorithms
Genetic algorithms (GAs), a class of evolutionary algorithms, emerging to be a promising procedure for solving engineering optimization problems. As GAs are able to conduct global search with minimal simplifying assumptions about the problem as well as the corresponding decision space, they offer a …
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Evolutionary neural networks : models and applications
… attempts to optimise neural networks (NNs) with genetic algorithms (GAs) are disclosed. A novel GA-NN hybrid is introduced, based on the bumptree, a little-used connectionist model. As well as being computationally efficient, the bumptree is shown to be more amenable to genetic coding lthan other …
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GA-Based Decision Support for Optimizing the Response of Secondary Systems
… approaches to optimize support locations using Genetic Algorithms (GAs), a heuristic optimization technique, are discussed. These approaches have been implemented in a DSS using Vitri, a generic, distributed framework designed to support the development of DSSs, which reduces the computational …
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Multiobjective genetic algorithms with application to control engineering problems.
Genetic algorithms (GAs) are stochastic search techniques inspired by the principles of natural selection and natural genetics which have revealed a number of characteristics particularly useful for applications in optimization, engineering, and computer science, among other fields. In control …
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The Automatic Generation of Software Test Data Using Genetic Algorithms
Genetic Algorithms (GAs) have been used successfully to automate the generation of test data for software developed in ADA83. The test data were derived from the program's structure with the aim to traverse every branch in the software. The investigation uses fitness functions based on the Hamming …
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Facial analysis in video : detection and recognition
… a novel feature extraction method implementing genetic algorithms (GAs) and the Fisher linear discriminant (FLD) is designed to derive the optimal discriminating features that lead to an effective image representation for face recognition. This method noticeably improves FRGC ver1.0 Experiment 4 …
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