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 795 for “"genetic algorithm"”.
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Truckin' : the genetic algorithm way
… developed to explain human evolution, called the Genetic Algorithm. The algorithm is based on the premise that, when individuals exist in a competitive environment where resources are limited, only the fittest individuals will survive. This thesis attempts to use genetic algorithms to solve a …
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Island Genetic Algorithm-based Cognitive Networks
… network conditions, artificial intelligence algorithms to solve problems, and a reconfigurable platform to apply solutions. However, little further research has investigated suitable reasoning and learning algorithms. In this dissertation, we take cognitive network research a step further by …
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Towards genetic algorithm methodology in chemometrics
Contains fulltext : mmubn000001_167753932.pdf (Publisher’s version ) (Open Access)
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Multiobjective Reservoir Optimization Using Genetic Algorithm
… For these reasons, the present thesis uses genetic algorithm (GA) functions available in Matlab to perform the multiobjective optimization of hydropower energy production. Multiobjective optimization is based on two objective functions: maximization of total energy production over a …
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Genetic Algorithm For University Course Timetabling Problem
… optimal solutions to the timetabling problem. Genetic algorithms, based on Darwin's theory of evolution is one such method. The aim of this study is to optimize a general university course scheduling process based on genetic algorithms using some defined constraints.
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A genetic algorithm for resource-constrained scheduling
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1996.
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Modeling trabecular microstructure evolution via genetic algorithm
… improve the properties for a given function. A genetic algorithm is one method for applying the principals of cumulative selection to material's optimization. One of unique property that cumulative selection generated was the ability of trabecular bone to optimize and adjust its structure in …
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Structural topology optimization via the genetic algorithm
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1994.
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Solving security staff scheduling by using genetic algorithm
… and their preferences. A heuristic method, the genetic algorithm is selected to solve this research problem as it is a powerful tool, shown in addressing the scheduling problem. It is because it is familiar used to solve large scale population and able to produce an optimal solution. This …
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Information storage capacity of genetic algorithm fitness maps.
To accurately measure the amount of information a genetic algorithm can generate, we must first measure the amount of information one can store, using a fitness map. The amount of information generated, minus the storage capacity, gives a tighter estimate on the levels of information generated by …
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ARABIDOPSIS THALIANA GENE INTERACTION EXPLORATION WITH CHC GENETIC ALGORITHM
… for pairwise gene interactions, we present an algorithm that explores genetic activity in Arabidopsis thaliana plants. Prior approaches guarantee accurate models in exchange for intractable computational complexity. These computational outputs are only estimates, no matter the accuracy of the …
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Route Optimization for Automated Bridge Inspection with Genetic Algorithm
We develop a Genetic Algorithm (GA) to generate efficient routes for a robotic bridge inspection team. Using robots to automate the process of bridge inspection will improve human safety and reduce time and money allocated to bridge inspections. To do this, we attack the problem of minimizing and …
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Multi-resolution dental image registration based on genetic algorithm
… resolution dental image registration based on genetic algorithms. The main objective of this research is to develop techniques for registration of extracted subject regions of interest with corresponding reference regions of interest.;We investigated and implemented registration using two multi …
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Parameter identification of induction motor using a genetic algorithm
… networks, fuzzy logic, simulated annealing and genetic algorithms. These methods are increasingly being utilized in solving electric machine problems.;In this thesis, a genetic algorithm (GA)---a form of artificial intelligence---is employed to identify the electric parameters of induction …
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A genetic algorithm applied to the fractal inverse problem
… of solving the inverse program with the genetic algorithm.
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Inverse Boundary Element/genetic Algorithm Method For Reconstruction O
… (bem), and the inverse problem is solved using a genetic algorithm (ga). Thermal conditions are overspecified at exposed surfaces amenable to measurement, while the temperature and surface heat flux distributions are unknown at the film cooling hole/slot walls. The latter are determined in an …
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Genetic Algorithm Stream Cipher Key Generation Using NIST Functions
… stream ciphers is to improve the key generation algorithm. This study sought to evaluate the keys produced by a genetic algorithm stream cipher when individual and combinations of fitness functions are used. Furthermore, this study identified which fitness function is the best for a specific …
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Coordinated Regional and City Planning Using a Genetic Algorithm
… second question is answered through the use of a genetic algorithm. The genetic algorithm provides the means to objectively consider millions of plans to find the best ones. The new approach is demonstrated on the main metropolitan region of Utah and a local city center within the region. The …
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