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Title: Individual-based artificial ecosystems for design and optimization
Alternate Title: Individual based artificial ecosystems for design and optimization
Author (s): Vulli, Srinivasa Shivakar, 1982-
Advisor(s): Agarwal, Sanjeev
Department/Lab Affiliations:
Issue Date: 2008
Publisher: University of Missouri-Rolla [sic] [Missouri University of Science and Technology]
Citation: Vulli, Srinivasa Shivakar. "Individual-Based Artificial Ecosystems for Design and Optimization." Master's Thesis, Mechanical Engineering, Missouri University of Science and Technology, 2008.
Abstract: "Individual-based modeling has gained popularity over the last decade, mainly due to the paradigm's proven ability to address a variety of problems seen in many disciplines, including modeling complex systems from bottom-up, providing relationship between component level and system level parameters, and discovering the emergence of system-level behaviors from simple component level interactions. Availability of computational power to run simulation models with thousands to millions of agents is another driving force in the widespread adoption of individual-based modeling. This thesis proposes an individual-based modeling approach for solving engineering design and optimization problems using artificial ecosystems"--Abstract, p. iii.
Type: Thesis/Dissertation
text
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http://scholarsmine.mst.edu/thesis/pdf/Vulli_09007dcc804c5b3b.pdf
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Vulli_09007dcc804c5b3b.pdf



titleIndividual-based artificial ecosystems for design and optimization
title.alternativeIndividual based artificial ecosystems for design and optimization
contributor.advisorAgarwal, Sanjeev
contributor.authorVulli, Srinivasa Shivakar, 1982-
contributor.deptlabAieborne Reconnaissance and Image Analysis Lab
subject.LCSHEcology -- Mathematical models.
subject.LCSHEcosystem management -- Mathematical models.
subject.LCSHEngineering design.
date.issued2008
publisherUniversity of Missouri-Rolla [sic] [Missouri University of Science and Technology]
identifier.URI
http://scholarsmine.mst.edu/thesis/pdf/Vulli_09007dcc804c5b3b.pdf
identifier.citationVulli, Srinivasa Shivakar. "Individual-Based Artificial Ecosystems for Design and Optimization." Master's Thesis, Mechanical Engineering, Missouri University of Science and Technology, 2008.
identifier.oclc226290876
descriptionDegree granted by Missouri University of Science and Technology, formerly known as University of Missouri-Rolla.
descriptionIncludes bibliographical references (p. 67-73).
descriptionMode of access: World Wide Web.
descriptionSystem requirements: Adobe Acrobat Reader; Internet browser.
descriptionThe entire thesis text is included in file.
descriptionThesis (M.S.)--Missouri University of Science and Technology, 2008.
descriptionTitle from title screen of thesis/dissertation PDF file (viewed April 18, 2008)
descriptionVita.
description.abstract"Individual-based modeling has gained popularity over the last decade, mainly due to the paradigm's proven ability to address a variety of problems seen in many disciplines, including modeling complex systems from bottom-up, providing relationship between component level and system level parameters, and discovering the emergence of system-level behaviors from simple component level interactions. Availability of computational power to run simulation models with thousands to millions of agents is another driving force in the widespread adoption of individual-based modeling. This thesis proposes an individual-based modeling approach for solving engineering design and optimization problems using artificial ecosystems"--Abstract, p. iii.
description.
statementOfResponsibility
by Srinivasa Shivakar Vulli.
typeThesis/Dissertation
type.DCMITypetext
rightsThese materials are protected under copyright by the original author.
language.ISO639-2eng
format.extentix, 74 p. : ill., digital, PDF file.
date.accessioned2008-03-25T20:47:48Z
date.available2008-04-25T13:16:02Z
identifier.persist.URI
http://scholarsmine.mst.edu/thesis/Individualbased_art_09007dcc804eb0db.html
Full Text
Vulli_09007dcc804c5b3b.pdf