Using Genetic Programming to Study Pima Indians Diabetes Data Set

The Pima Indians Diabetes data set is a well known challenging pattern recognition problem from the UCI Machine Learning Repository: Pima Indians Diabetes. I used genetic programming to evolve to predict the diabetes status of a patient. The data contained the following attributes:

1. Number of times pregnant
2. Plasma glucose ...

Genetic Programming and Computer Vision

This report discusses a typical computer vision problem in which a Genetic Programming is used for feature identification on a section of the QEW. The GP system successfully evolved filters that successfully predicted objects on the test image.

Using Computer Vision to Compare Island Model Parallelism With The Panmictic Model

Island-model parallelism is used with a topology designed so as to distribute unique training examples to the different islands asynchronously. Two remote computers hosted the total number of islands, which allowed for distributed evaluation. Overall performance of Island- model parallelism is compared to the panmictic/classic Genetic Programming model. A t-test ...

Using Computer Vision in Genetic Programming to Compare Linear and Tree Genome Representations

This work uses GP to identify specific features on an image using linear and tree genome representations. Grammatical Evolution (GE) is used to represent linear GP using a BNF (Backus Naur Form) grammar. Tree-genome however, is used to represents GP individuals in the form of binary trees. Panmictic model was ...

Building Ozone Level Forecasting System Using Genetic Programming on a Distributed Computing Platform

This work looks at im- plementing a distributed evolutionary algorithm computational system to model an environmental data provided by Texas Commission on Environmental Quality (TCEQ). It is aimed at building a highly reliable ozone level forecasting system using 2,536 datasets gathered over 7 years with each dataset having 72 measured ...