Publication Date

2019

Document Type

Thesis

Committee Members

Luther Palmer III (Advisor), Pradeep Misra (Committee Member), Xiaodong Zhang (Committee Member)

Degree Name

Master of Science in Electrical Engineering (MSEE)

Abstract

A New Two player zero sum multistage simultaneous Game has been developed from a real-life situation of dispute between two individual. Research identifies a multistage game as a multi-objective optimization problem and solves it using Coevolutionary algorithm which converges to a solution from pareto optimal solution. A comparison is done between individual stage behaviour and multistage behaviour. Further, simulations over a range for Crossover rate, Mutation rate and Number of interaction is done to narrow down the range for a range with optimal computation speed. A relationship has been observed which identifies a relationship between population size, number of interactions, crossover rate, mutation rate and computational time. A point from the obtained range is then selected and applied to a new game to see if the point from the narrowed range works.

Page Count

63

Department or Program

Department of Electrical Engineering

Year Degree Awarded

2019


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