Browsing College of Science by Subject "Genetic algorithms"

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Browsing College of Science by Subject "Genetic algorithms"

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Comparing the performance of the evolvable πgrammatical evolution genotype-phenotype pap to grammatical evolution in the dynamic Ms. Pac-Man environment

Galván-López, Edgar ; Fagan, David ; Murphy, Eoin ; Swafford, John Mark ; Agapitos, Alexandros ; O'Neill, Michael ; Brabazon, Anthony (IEEE, 2010-07)

In this work, we examine the capabilities of two forms of mappings by means of Grammatical Evolution (GE) to successfully generate controllers by combining high-level functions in a dynamic environment. In this work we ...
Defining locality in genetic programming to predict performance

Galván-López, Edgar ; McDermott, James ; O'Neill, Michael ; Brabazon, Anthony (IEEE, 2010-07)

A key indicator of problem difficulty in evolutionary computation problems is the landscape’s locality, that is whether the genotype-phenotype mapping preserves neighbourhood. In genetic programming the genotype and phenotype ...
Interactive EC control of synthesized timbre

McDermott, James ; O'Neill, Michael ; Griffith, Niall J. L. (MIT Press, 2010)

Perhaps the biggest limitation of interactive EC is the fitness evaluation bottleneck, caused by slow user evaluation and leading to small populations and user fatigue. In this study these problems are addressed through ...
Objective function design in a grammatical evolutionary trading system

Bradley, Robert ; Brabazon, Anthony ; O'Neill, Michael (IEEE Press, 2010-07)

Designing a suitable objective function is an essential step in successfully applying an evolutionary algorithm to a problem. In this study we apply a grammar-based Genetic Programming algorithm called Grammatical Evolution ...