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 12 of 12 for “"Island Model"”.
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Interplanetary Trajectory Optimization with Automated Fly-By Sequences
… is to combine different solvers in an island model that allows these algorithms to share solutions. The program Spacecraft Trajectory Optimization Suite (STOpS) is an island model suite of heterogeneous and homogeneous Evolutionary Algorithms (EA) that analyze interplanetary …
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Spacecraft Trajectory Optimization Suite (STOpS): Optimization of Multiple Gravity Assist Spacecraft Trajectories Using Modern Optimization Techniques
… uses an interesting technique known as the Island Model Paradigm. This work provides the community with a MATLAB optimizer, STOpS, that utilizes this same Island Model Paradigm with five different optimization algorithms. STOpS allows optimization of a weighted combination of many …
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An "Island" Study Abroad Program and Its Impact on the Intercultural Sensitivity and Cross-Cultural Adaptability of Its Participants: Perspectives from a Research Intensive University
… in recent years. One of these, the so-called "island" study abroad program, provides students with little or no foreign language skill the opportunity to study, travel and live together in the host country, without the immersion that has been integral to other programs. While there is much …
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Design and Construction of a Low-Cost, Low-Field MRI System for MR Signal Acquisition
… field B0. A parallel genetic algorithm with an island model enabled efficient optimisation, yielding a simulated field strength of 50.2mT and a homogeneity of 128.73 ppmpp over a 60mm spherical volume. Manufacturing feasibility was addressed via tolerance analysis and additive manufacturing, …
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Spacecraft Trajectory Optimization Suite (STOPS): Optimization of Low-Thrust Interplanetary Spacecraft Trajectories Using Modern Optimization Techniques
… here optimizes low-thrust trajectories using the Island Model Paradigm with three stochastic evolutionary algorithms: the genetic algorithm, differential evolution, and particle swarm optimization. While the algorithms used here were designed for the original STOpS, they were modified for this …
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Orbital Optimization of Interplanetary Trajectories with Environmental Perturbations
… desired to incorporate a spacecraft environment model in order to have maximum confidence that the analysis will produce an accurate trajectory. Such a model requires the addition of orbital perturbations, or small forces acting on the spacecraft throughout its trajectory that can eventually …
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Parallelization of hybrid multi-objective evolutionary algorithm on multi-core architectures
… algorithm on multi-core CPU machines using an island model. Using the travelling salesperson benchmark data sets we analyze the performance of the parallel hybrid algorithm quantitatively and qualitatively using metrics such as IGD scores, scalability, and speedup.
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Some effects of subdivision of finite populations on genetic diversity measures
… in terms of the infinite-alleles Wright-Fisher model.;Moments of the multidimensional frequency spectrum of order n correspond to probabilities of identity for n genes drawn from specified subpopulations. Recursions are developed for moments of arbitrary order.;Several authors have studied the …
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Global Optimization of MGA-DSM Problems Using the Interplanetary Gravity Assist Trajectory Optimizer (IGATO)
… Team (ACT). PaGMO is an implementation of the Island Model Paradigm which allows the parallelization of different global optimizers. The second part of this work introduces the IGATO software which improves PaGMO by complementing it with dynamic restart capabilities, a pruning algorithm which …
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Bayesian network structure learning using characteristic properties of permutation representations with applications to prostate cancer treatment.
… have become an increasingly popular technique to model data under presence of uncertainty. BNs are probabilistic models that represent relationships between variables by means of a node structure and a set of parameters. Learning efficiently the structure that models a particular dataset is a …
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Spacecraft Trajectory Optimization Suite: Fly-Bys with Impulsive Thrust Engines (Stops-Flite)
… problem space with a wide variety of models and optimizers. As trajectory complexity increases, so too must the capabilities of modern optimizers. Common objective cost functions for these optimizers include the propellant utilized by the spacecraft and the time the spacecraft spends …
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Group living features can challenge predictions for the evolution of altruistic behaviors
… social interactions. In this thesis, I develop models to study how the specificities of group living can influence the evolution of altruistic behaviors. I use inclusive fitness models to understand how the social environment the group creates, the ecological factors, and the benefits of …