Acton, Gavan
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Audience: Undergraduate. -- Dissertation: Thesis (B. A.) -- Algoma University, 2007. -- Submitted in partial fulfillment of course requirements for COSC 4235.
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In this paper we propose, implement and test a new approach to Dynamic Optimization inspired by microbiological swarms. Our approach makes use of the strengths of real bacteria, namely self organization, adaptation and natural selection to perform optimization. Finally, we test and show that our swarm significantly outperforms a state of the art approach by achieving comparable optimization in environments.
Abigail, Shawn G
p. 50 ; 28 cm. -- pdf (textual record)
Audience: Undergraduate. -- Dissertation: Thesis (B. A.) -- Algoma University, 1994.-- Submitted in partial fulfillment of course requirements for COSC 4235. -- Includes figures,tables and diagrams. -- Contents: Thesis.
It was my original goal to "develop a [Microsoft] Windows program in C++ which will permit the molecular biologist to enter and analyze DNA, RNA and protein sequences through a graphical interface."' I hoped to be able to create a program that would perform many of the basic functions that are important in analyzing a gene. My thesis meets this overall goal.
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