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 48 for “"Global Search"”.
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Global Search Methods for Solving Nonlinear Optimization Problems
We show experimental results in applying Novel to solve nonlinear optimisation problems, including (a) the learning of feedforward neural networks, (b) the design of quadrature-mirror-filter digital filter banks, (c) the satisfiability problem, (d) the maximum satisfiability problem, and (e) the …
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Algorithms for Derivative-Free Optimization
… problem set. Then, we develop Model and Search (M&S), a new local search algorithm for derivative-free optimization. M&S performs a local search from a given point. The search is guided by identifying descent directions from a quadratic model fitted around the best known point, while …
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A comparison study of genetic algorithms in feedback controller design
… discusses the use of genetic algorithms as a global search technique to solve three optimization problems: a sixth-order polynomial problem, a single-degree-of-freedom spring-mass-damper (SDOF SMD) system problem, and a loading bridge regulator problem. Genetic algorithms are iterative global …
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The Theory and Applications of Discrete Constrained Optimization Using Lagrange Multipliers
… that were not possible by existing local- and global search techniques.
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A global maximum power point tracking DC-DC converter
… DC-DC converter capable of following the true global maximum power point in the presence of other local maximum. It does this without the use of costly components such as analog-to-digital converters and microprocessors. It substantially increases the efficiency of solar power conversion by …
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Soft computing y aprendizaje automático para la segmentación de imágenes con modelos deformables
… function. The function is defined such that its global minimum corresponds to the ideal DM position. Therefore, the model adjustment process is tackled as a numerical optimization problem. Regardless the extensive and successful use of DMs, these SI techniques are still affected by several …
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Novel optimizers for multi-objective deep learning
… the Adam optimizer operates without independent searching agents. Therefore, the global search is not permissible as multiple agents do not communicate with one another. In this thesis, we introduced a population-based Adam optimizer and incorporated it into the framework of multi-objective …
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Neural Mechanisms that Control an Innate Foraging Behavior in Caenorhabditis Elegans
… One highly conserved foraging strategy is local search, an intensive exploration over several minutes of the region where food resources were last encountered. As time since the last food encounter passes, animals transition to global search strategies to explore distant areas. The …
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Decentralized planning for autonomous agents cooperating in complex missions
… vehicles remains an important and challenging research topic. This thesis focuses on decentralized planning for autonomous agents performing complex missions. These types of missions often involve a set of tasks, each representing a component of the mission. Task planning algorithms may be used …
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Princípio de balanços termoenergéticos em caldeiras geradoras de vapor nas indústrias sucroalcooleiras
The current scenario in the global search for cleaner and more efficient alternatives, the residual biomass can play a role with great energy capacity. This paper presents the evaluation of operating energy efficiency of a sugarcane mill, which specifically uses bagasse as a steam source. Besides, …
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Novel optimisation methods for numerical inverse problems
… is re-visited and examined. To enhance the global search ability of QPSO for complex multi-modal problems, several modifications to QPSO are proposed. These include perturbation operation, Gaussian mutation and ring topology model. Several parameter selection methods for these algorithms are …
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Global optimization of water distribution systems
A holistic procedure GLOBAL for the global optimization of water distribution systems is presented. The procedure identifies an optimal tree layout for the network and augments it with loop forming links to assure reliability. Thus, the chosen optimal layout in judiciously subjected to various flow …
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The synthesis of hybrid mechanisms using genetic algorithms.
… 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 criteria which go some way to …
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Database optimization algorithm for empirical potentials
… evaluate the objective function and perform global search for the optimal empirical potential model.
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Codebook design for distributed relay beamforming system
… with-power-control codebook designs. To reduce search complexity, a suboptimal method for the codebook update stage in the Lloyd’s algorithm is proposed. Its performance is compared to the performance of the global search method which provides the optimal solution but incurs high computation …
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Meta-learning computational intelligence architectures
… be associated with the algorithmic pairing of a global search method with a local search method. In a sociological context, a 'meme' has been loosely defined as a unit of cultural information, the social analog of genes for individuals. Both of these definitions are inadequate, as 'memetic …
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The search for an effective international regime for the long-term safety and security of high level radioactive waste: Pangea and beyond
… repository siting and the reasons for a broader global search. The failure to achieve HLW repositories at a national level has led to much research into the technical, social and political obstacles to site selection, and into international collaboration. In 1999 Pangea Resources International …
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How to Use K-means for Big Data Clustering?
… The new approach naturally implements global search by decomposing the MSSC problem without using additional metaheuristics. On the other hand, this approach can be generalized to a novel metaheuristic, providing fresh perspectives for creating new powerful optimization heuristics. This …
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Characteristics of Multilayer Mirrors in the X-ray and Extreme Ultraviolet Radiation Ranges
… method was successfully applied in a global search of materials for the structure of mirrors. The robust designs made possible are considered to alleviate fabrication difficulties, such as control of layer thickness errors. -- The second important theme was to analyse the interfacial …
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Data-driven flight path rerouting during adverse weather: Design and development of a passenger-centric model and framework for alternative flight path generation using nature inspired techniques
… factor that negatively impacts flight operations globally is adverse weather. To reduce the impact of adverse weather, avoidance procedures such as finding an alternative flight path can usually be carried out. However, such procedures usually introduce extra costs such as flight delay. Hence, …
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