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EC
2002
228views ECommerce» more  EC 2002»
13 years 8 months ago
Improved Sampling of the Pareto-Front in Multiobjective Genetic Optimizations by Steady-State Evolution: A Pareto Converging Gen
Previous work on multiobjective genetic algorithms has been focused on preventing genetic drift and the issue of convergence has been given little attention. In this paper, we pre...
Rajeev Kumar, Peter Rockett
IJCNN
2006
IEEE
14 years 2 months ago
Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks
— The idea of using evolutionary techniques to optimize the performance of neural networks is now widely used, but some approaches have been found to result in the evolution of r...
John A. Bullinaria
EUROGP
2005
Springer
103views Optimization» more  EUROGP 2005»
14 years 2 months ago
GP-EndChess: Using Genetic Programming to Evolve Chess Endgame Players
We apply genetic programming to the evolution of strategies for playing chess endgames. Our evolved programs are able to draw or win against an expert human-based strategy, and dra...
Ami Hauptman, Moshe Sipper
IFIP
1997
Springer
14 years 28 days ago
A simulation model for designing the automation of future's factory
The factory of the future is going to have a high, but not full, degree of automation. There are three reasons for that. First, no great level of automation is compatible with req...
Javier Borda Elejabarrieta
ESEM
2009
ACM
14 years 3 months ago
The evolution and impact of code smells: A case study of two open source systems
Code smells are design flaws in object-oriented designs that may lead to maintainability issues in the further evolution of the software system. This study focuses on the evolutio...
Steffen Olbrich, Daniela Cruzes, Victor R. Basili,...