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Browsing by Author "Hemberg, Erik"

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Combining structural analysis and multi-objective criteria for evolutionary architectural design

Byrne, Jonathan ; Fenton, Michael ; Hemberg, Erik ; McDermott, James ; O'Neill, Michael ; Shotton, Elizabeth ; McNally, Ciaran (Springer, 2011)

This study evolves and categorises a population of conceptual designs by their ability to handle physical constraints. The design process involves a trade-off between form and function. The aesthetic considerations of the ...
Dynamic ant : introducing a new benchmark for genetic programming in dynamic environments

Fagan, David ; Nicolau, Miguel ; Hemberg, Erik ; O'Neill, Michael ; Brabazon, Anthony (University College Dublin. School of Computer Science and Informatics, 2011-04-14)

In this paper we present a new variant of the ant problem in the dynamic problem domain. This approach presents a functional dynamism to the problem landscape, where by the behaviour of the ant is driven by its ability to ...
Evolutionary design using grammatical evolution and shape grammars : designing a shelter

O'Neill, Michael ; McDermott, James ; Swafford, John Mark ; Byrne, Jonathan ; Hemberg, Erik ; Brabazon, Anthony ; Shotton, Elizabeth ; McNally, Ciaran ; Hemberg, Martin (Inderscience Enterprises, 2010-04-24)

A new evolutionary design tool is presented, which uses shape grammars and a grammar-based form of evolutionary computation, grammatical evolution (GE). Shape grammars allow the user to specify possible forms, and GE allows ...
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 & ...
Interactive operators for evolutionary architectural design

Byrne, Jonathan ; Hemberg, Erik ; O'Neill, Michael (University College Dublin. School of Computer Science and Informatics, 2011-04-12)

In this paper we explore different techniques that allow the user to direct interactive evolutionary search. Broadening interaction beyond simple evaluation increases the amount of feedback and bias a user can apply to the ...
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 ...
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 ...
A symbolic regression approach to manage femtocell coverage using grammatical genetic programming

Hemberg, Erik ; Ho, Lester ; O'Neill, Michael ; Claussen, Holger (ACM, 2011)

We present a novel application of Grammatical Evolution to the real-world application of femtocell coverage. A symbolic regression approach is adopted in which we wish to uncover an expression to automatically manage the ...
Tracer spectrum : a visualisation method for distributed evolutionary computation

O'Neill, Michael ; Brabazon, Anthony ; Hemberg, Erik (Springer, 2011-09)

We present a novel visualisation method for island-based evolutionary algorithms based on the concept of tracers as adopted in medicine and molecular biology to follow a biochemical process. For example, a radioisotope or ...