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GECCO
2005
Springer
101views Optimization» more  GECCO 2005»
10 years 5 months ago
A scalable parallel genetic algorithm for x-ray spectroscopic analysis
We use a parallel multi-objective genetic algorithm to drive a search and reconstruction spectroscopic analysis of plasma gradients in inertial confinement fusion (ICF) implosion...
Kai Xu, Sushil J. Louis, Roberto C. Mancini
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
10 years 5 months ago
Use of a genetic algorithm in brill's transformation-based part-of-speech tagger
The tagging problem in natural language processing is to find a way to label every word in a text as a particular part of speech, e.g., proper noun. An effective way of solving th...
Garnett Carl Wilson, Malcolm I. Heywood
GECCO
2005
Springer
107views Optimization» more  GECCO 2005»
10 years 5 months ago
Investigating the success of spatial coevolution
We investigate the results of coevolution of spatially distributed populations. In particular, we describe work in which a simple function approximation problem is used to compare...
Nathan Williams, Melanie Mitchell
GECCO
2005
Springer
149views Optimization» more  GECCO 2005»
10 years 5 months ago
There's more to a model than code: understanding and formalizing in silico modeling experience
Mapping biology into computation has both a domain specific aspect – biological theory – and a methodological aspect – model development. Computational modelers have implici...
Janet Wiles, Nicholas Geard, James Watson, Kai Wil...
GECCO
2005
Springer
204views Optimization» more  GECCO 2005»
10 years 5 months ago
Modeling systems with internal state using evolino
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
Daan Wierstra, Faustino J. Gomez, Jürgen Schm...
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
10 years 5 months ago
A genetic algorithm approach to the selection of near-optimal subsets from large sets
The problem attempted in this paper is to select a sample from a large set where the sample is required to have a particular average property. The problem can be expressed as an o...
P. Whiting, P. W. Poon, J. N. Carter
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
10 years 5 months ago
Automatic feature selection in neuroevolution
Shimon Whiteson, Peter Stone, Kenneth O. Stanley, ...
GECCO
2005
Springer
159views Optimization» more  GECCO 2005»
10 years 5 months ago
Using evolutionary algorithms for the unit testing of object-oriented software
As the paradigm of object orientation becomes more and more important for modern IT development projects, the demand for an automated test case generation to dynamically test obje...
Stefan Wappler, Frank Lammermann
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
10 years 5 months ago
Multi-niche crowding in the development of parallel genetic simulated annealing
In this paper, a new hybrid of genetic algorithm (GA) and simulated annealing (SA), referred to as GSA, is presented. In this algorithm, SA is incorporated into GA to escape from ...
Zhi-Gang Wang, Mustafizur Rahman 0002, Yoke-San Wo...
GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
10 years 5 months ago
Investigating the performance of module acquisition in cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is a form of the graph based Cartesian Genetic Programming (CGP) in which modules are automatically acquired and evolved. In this pap...
James Alfred Walker, Julian Francis Miller
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