Microbiological inspired Swarm Intelligence for optimization in dynamic environments

Submitted by reedelderc on Mon, 05/13/2013 - 10:24

Description

Creator:

Acton, Gavan

Responsibility:

Gavan Acton

Start Date:

2007

End Date:

2007

Date Range:

2007 April 11

Physical Description:

3.83 MB of textual records (PDF)

Notes:

Audience: Undergraduate. -- Dissertation: Thesis (B. A.) -- Algoma University, 2007. -- Submitted in partial fulfillment of course requirements for COSC 4235.

Media

Processing Notes:

Portable Document File. -- System requirements: Electronic device with World Wide Web browser and PDF reader. -- Online access via World Wide Web at http://archives.algomau.ca/.

Bibliographic Information

Publication:

Sault Ste. Marie, Ont.: Algoma University

Standard No:

OSTMA-COSC-Acton-Gavan-20070411

Physical Location

rec_shelfloc:

2013-064-001

Repository:

Algoma University Archive

Accession No:

Algoma University Theses collection

Container Number:

001

Conservation

Historical Context:

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.

Subject Access:

Dissertations, Academic -- Algoma University -- Computer Science

Language:

All material is in English.

GMD:

electronic

textual record

Description Level:

File

Document: