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Title: Multi-Objective Automated Co-evolution
Authors: Soh, Nicole Min Yi.
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2011
Abstract: Co-evolutionary algorithms are a nature inspired approach to problems for which no function for evaluating potential solutions are known. Applying co-evolutionary search to the problem of multi-objective optimisation has a wide range of practical applications; of particular interest is the application to automated red teaming. At current however, little research has been done in this field of multi-objective coevolution. This project attempts to add to the literature by surveying current research on singlesided co-evolution and from there developing a framework to support multi-objective competitive co-evolution. Here, a preliminary design of such a framework is implemented and applied to the search of optimal strategies for tic-tac-toe. The dynamics of co-evolution and pathologies existing are thusly analysed.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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