Document Type

Thesis

Degree

Master of Science (MS)

Department

Mechanical Engineering

First Advisor's Name

George S. Dulikravich

First Advisor's Committee Title

Committee Chair

Second Advisor's Name

Igor Tsukanov

Third Advisor's Name

Yiding Cao

Date of Defense

11-12-2008

Abstract

The aim of this work is to develop an algorithm that can solve multidisciplinary design optimization problems. In predator-prey algorithm, a relatively small number of predators and a much larger number of prey are randomly placed on a two dimensional lattice with connected ends. The predators are partially or completely biased towards one or more objectives, based on which each predator kills the weakest prey in its neighborhood. A stronger prey created through evolution replaces this prey. In case of constrained problems, the sum o f constraint violations serves as an additional objective.

Modifications of the basic predator-prey algorithm have been implemented in this study regarding the selection procedure, apparent movement of the predators, mutation strategy, dynamics of the Pareto convergence, etc. Further modifications have been made making the algorithm capable of handling equality and inequality constraints. The final modified algorithm is tested on standard constrained/unconstrained, single and multi-objective optimization problems.

Identifier

FI14060822

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