Microbiological inspired Swarm Intelligence for optimization in dynamic environments
File, 2013-064-001-026
- Part of
- Algoma University Archives > Algoma University Theses collection > Computer Science series > Microbiological inspired Swarm Intelligence for optimization in dynamic environments
- Creator
- Gavan Acton
- Date
- 2007
- Physical Description
- 3.83 MB of textual records (PDF)
- General Material Designation
- Electronic record, Textual record
- Language(s)
- English
- Bibliographic Information
- Sault Ste. Marie, Ont.: Algoma University, OSTMA-COSC-Acton-Gavan-20070411
- Descriptive Notes
- Audience: Undergraduate. -- Dissertation: Thesis (B. A.) -- Algoma University, 2007. -- Submitted in partial fulfillment of course requirements for COSC 4235.
- 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.