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The Proteomics Approach To Evolutionary Computation: An Analysis Of Pr, Ivan Garibay
The Proteomics Approach To Evolutionary Computation: An Analysis Of Pr, Ivan Garibay
Electronic Theses and Dissertations
As the complexity of our society and computational resources increases, so does the complexity of the problems that we approach using evolutionary search techniques. There are recent approaches to deal with the problem of scaling evolutionary methods to cope with highly complex difficult problems. Many of these approaches are biologically inspired and share an underlying principle: a problem representation based on basic representational building blocks that interact and self-organize into complex functions or designs. The observation from the central dogma of molecular biology that proteins are the basic building blocks of life and the recent advances in proteomics on analysis …
Evolutionary Optimization Of Support Vector Machines, Fred Gruber
Evolutionary Optimization Of Support Vector Machines, Fred Gruber
Electronic Theses and Dissertations
Support vector machines are a relatively new approach for creating classifiers that have become increasingly popular in the machine learning community. They present several advantages over other methods like neural networks in areas like training speed, convergence, complexity control of the classifier, as well as a stronger mathematical background based on optimization and statistical learning theory. This thesis deals with the problem of model selection with support vector machines, that is, the problem of finding the optimal parameters that will improve the performance of the algorithm. It is shown that genetic algorithms provide an effective way to find the optimal …