Table of Interests
Daily Logs
Bi-Weekly Goals
CS Tools
Project Proposal
Cellular Automata
Genetic Algorithm
Abstract and Intro
Links
Iteration Prog Rep
Latex
Presentation
Supercomputer Applications
Poster
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Table of Interests
Daily Logs Bi-Weekly Goals CS Tools Project Proposal Cellular Automata Genetic Algorithm Abstract and Intro Links Iteration Prog Rep Latex Presentation Supercomputer Applications Poster |
The Majority Classification Problem deals with a test array with binary cells that are randomly turned either on or off at the beginning of the program. The test array has an odd number of cells so that a majority of the cells are either turned on or off. A rule array is created that defines how each cell of the test array should evolve in each step of the cellular automata. The purpose of the rule array is to turn the entire test array either on or off, whichever is the majority in the original test array. The goal of this problem is to create an algorithm that will produce an array that will turn a high percentage of test arrays toward their majorities.
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