Collections matching your query

• School of Computer Science and Informatics [274]

• 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 ...
• 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 ...
• 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 ...
• Evolutionary computation and trade execution 

  Cui, Wei ; Brabazon, Anthony ; O'Neill, Michael (Springer, 2010)

  Although there is a plentiful literature on the use of evolutionary methodologies for the trading of Financial assets, little attention has been paid to the issue of efficient trade execution. Trade execution is concerned ...
• 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 ...
• 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 ...
• Implementing an intuitive mutation operator for interactive evolutionary 3D design 

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

  Locality - how well neighbouring genotypes correspond to neighbouring phenotypes - has been described as a key element in Evolutionary Computation. Grammatical Evolution (GE) is a generative system as it uses grammar rules ...
• Intelligent user interfaces for mobile computing 

  O'Grady, Michael J. ; O'Hare, G. M. P. (Greg M. P.) (IGL, 2008)

  In this chapter, the practical issue of realizing a necessary intelligence quotient for realizing Intelligent User Interfaces (IUIs) on mobile devices is considered. Mobile computing scenarios differ radically from the ...
• Examining the landscape of semantic similarity based mutation 

  Nguyen, Quang Uy ; Nguyen, Xuan Hoai ; O'Neill, Michael (ACM, 2011-07-12)

  This paper examines how the semantic locality of a search operator affects the fitness landscape of Genetic Programming (GP). We compare the fitness landscapes of GP search when standard subtree mutation and a recently ...