Masters Theses
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, page iii.
Advisor(s)
Agarwal, Sanjeev, 1971-
Committee Member(s)
Landers, Robert G.
Krishnamurthy, K.
Department(s)
Mechanical and Aerospace Engineering
Degree Name
M.S. in Mechanical Engineering
Publisher
Missouri University of Science and Technology
Publication Date
Spring 2008
Pagination
ix, 74 pages
Rights
© 2008 Srinivasa Shivakar Vulli, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Subject Headings
Ecology -- Mathematical models
Ecosystem management -- Mathematical models
Engineering design
Thesis Number
T 9347
Print OCLC #
260057499
Electronic OCLC #
226290876
Link to Catalog Record
Recommended Citation
Vulli, Shivakar, "Individual-based artificial ecosystems for design and optimization" (2008). Masters Theses. 4604.
https://scholarsmine.mst.edu/masters_theses/4604
