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Browsing by Author "Brabazon, Anthony"

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Genetic Programming for the Induction of Seasonal Forecasts: A Study on Weather-derivatives

Agapitos, Alexandros ; O'Neill, Michael ; Brabazon, Anthony (Springer, 2012)

The last ten years has seen the introduction and rapid growth of a market in weather derivatives, financial instruments whose payoffs are determined by the outcome of an underlying weather metric. These instruments allow ...
Genotype representations in grammatical evolution

Hugosson, Jonatan ; Hemberg, Erik ; Brabazon, Anthony ; O'Neill, Michael (Elsevier, 2010-01)

Grammatical evolution (GE) is a form of grammar-based genetic programming. A particular feature of GE is that it adopts a distinction between the genotype and phenotype similar to that which exists in nature by using a ...
GEVA : grammatical evolution in Java

O'Neill, Michael ; Hemberg, Erik ; Gilligan, Conor ; Bartley, Eliott ; McDermott, James ; Brabazon, Anthony (ACM, 2008)

We are delighted to announce the release of GEVA an open source software implementation of Grammatical Evolution (GE) in Java. Grammatical Evolution in Java (GEVA) was developed at UCD’s Natural Computing Research & ...
Higher-order functions in aesthetic EC encodings

McDermott, James ; Byrne, Jonathan ; Swafford, John Mark ; O'Neill, Michael ; Brabazon, Anthony (IEEE, 2010-07)

The use of higher-order functions, as a method of abstraction and re-use in EC encodings, has been the subject of relatively little research. In this paper we introduce and give motivation for the ideas of higher-order ...
Identifying online credit card fraud using artificial immune systems

Brabazon, Anthony ; Cahill, Jane ; Keenan, Peter ; Walsh, Daniel (IEEE Press, 2010-07)

Significant payment flows now take place on-line, giving rise to a requirement for efficient and effective systems for the detection of credit card fraud. A particular aspect of this problem is that it is highly dynamic, ...
Interactive interpolating crossover in grammatical evolution

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

Interactive interpolating crossover allows a user to quickly see a large number of individuals formed by interactively-controlled interpolation between two or more parents. We study it here for the first time in the context ...
Investigating mapping order in πGE

Fagan, David ; Nicolau, Miguel ; O'Neill, Michael ; Galván-López, Edgar ; Brabazon, Anthony ; McGarraghy, Sean (IEEE, 2010-07)

We present an investigation into the genotype-phenotype map in Position Independent Grammatical Evolution (πGE). Previous studies have shown πGE to exhibit a performance increase over standard GE. The only difference between ...
Investigation of the performance of different mapping orders for GE on the max problem

Fagan, David ; Nicolau, Miguel ; Hemberg, Erik ; O'Neill, Michael ; Brabazon, Anthony ; McGarraghy, Sean (Springer, 2011-04-27)

We present an analysis of how the genotype-phenotype map in Grammatical Evolution (GE) can effect performance on the Max Problem. Earlier studies have demonstrated a performance decrease for Position independent Grammatical ...
Learning environment models in car racing using stateful genetic programming

Agapitos, Alexandros ; O'Neill, Michael ; Brabazon, Anthony ; Theodoridis, Theodoros (IEEE, 2011-08-31)

For computational intelligence to be useful in creating game agent AI we need to focus on methods that allow the creation and maintenance of models for the environment, which the artificial agents inhabit. Maintaining a ...
Maximum margin decision surfaces for increased generalisation in evolutionary decision tree learning

Agapitos, Alexandros ; O'Neill, Michael ; Brabazon, Anthony ; Theodoridis, Theodoros (Springer, 2011-04-27)

Decision tree learning is one of the most widely used and practical methods for inductive inference. We present a novel method that increases the generalisation of genetically-induced classification trees, which employ ...
Maximum margin decision surfaces for increased generalisation in evolutionary decision tree learning

Agapitos, Alexandros ; O'Neill, Michael ; Brabazon, Anthony ; Theodoridis, Theodoros (Springer, 2011-04-27)

Decision tree learning is one of the most widely used and practical methods for inductive inference. We present a novel method that increases the generalisation of genetically-induced classification trees, which employ ...
Neutrality in evolutionary algorithms... what do we know?

Galván-López, Edgar ; Poli, Riccardo ; Kattan, Ahmed ; O'Neill, Michael ; Brabazon, Anthony (Springer, 2011-03-02)

Over the last years, the effects of neutrality have attracted the attention of many researchers in the Evolutionary Algorithms (EAs) community. A mutation from one gene to another is considered as neutral if this modification ...
A non-destructive grammar modification approach to modularity in grammatical evolution

Swafford, John Mark ; Hemberg, Erik ; O'Neill, Michael ; Nicolau, Miguel ; Brabazon, Anthony (ACM, 2011-07-12)

Modularity has proven to be an important aspect of evolutionary computation. This work is concerned with discovering and using modules in one form of grammar-based genetic programming, grammatical evolution (GE). Previous ...
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 ...
A preliminary investigation of overfitting in evolutionary driven model induction : implications for financial modelling

Tuite, Clíodhna ; Agapitos, Alexandros ; O'Neill, Michael ; Brabazon, Anthony (Springer, 2011-04-27)

This paper investigates the effects of early stopping as a method to counteract overfitting in evolutionary data modelling using Genetic Programming. Early stopping has been proposed as a method to avoid model overtraining, ...
A preliminary investigation of overfitting in evolutionary driven model induction : implications for financial modelling

Tuite, Cliodhna ; Agapitos, Alexandros ; O'Neill, MIchael ; Brabazon, Anthony (Springer, 2011-04)

This paper investigates the effects of early stopping as a method to counteract overfitting in evolutionary data modelling using Genetic Programming. Early stopping has been proposed as a method to avoid model overtraining, ...
A preliminary investigation of overfitting in evolutionary driven model induction: implications for financial modelling

Tuite, Clíodhna ; Agapitos, Alexandros ; O'Neill, Michael ; Brabazon, Anthony (Springer, 2011-04)

This paper investigates the effects of early stopping as a method to counteract overfitting in evolutionary data modelling using Genetic Programming. Early stopping has been proposed as a method to avoid model overtraining, ...
Reactiveness and navigation in computer games : different needs, different approaches

Perez, Diego ; Nicolau, Miguel ; O'Neill, Michael ; Brabazon, Anthony (IEEE, 2011-08-31)

This paper presents an approach to the Mario AI Benchmark problem, using the A* algorithm for navigation, and an evolutionary process combining routines for the reactiveness of the resulting bot. The Grammatical Evolution ...
Recent patents on genetic programming

O'Neill, Michael ; Brabazon, Anthony (Bentham Science Publishers, 2009-01)

Genetic Programming is a form of Natural Computing which adopts principles from neo-Darwinian evolution to automatically solve problems. It is a model induction method in that both the structure and parameters of the ...
Swarm intelligent optimisation based stochastic programming model for dynamic asset allocation

Dang, Jing ; Edelman, David ; Hochreiter, Ronald ; Brabazon, Anthony (IEEE Press, 2010-07)

Asset allocation is critical for the portfolio management process. In this paper, we solve a dynamic asset allocation problem through a multiperiod stochastic programming model. The objective is to maximise the expected ...