Individual-based artificial ecosystems for design and optimization

Author

Shivakar Vulli

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 modelsEcosystem management -- Mathematical modelsEngineering design

Thesis Number

T 9347

Print OCLC #

260057499

Electronic OCLC #

226290876

Recommended Citation

Vulli, Shivakar, "Individual-based artificial ecosystems for design and optimization" (2008). Masters Theses. 4604.
https://scholarsmine.mst.edu/masters_theses/4604