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GECCO
2009
Springer
133views Optimization» more  GECCO 2009»
14 years 12 days ago
Evolutionary codings and operators for the terminal assignment problem
Given a collection of terminals, each with a demand, a collection of concentrators, each with a capacity, and costs of connecting the terminals to the concentrators, the terminal ...
Bryant A. Julstrom
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 8 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
GECCO
2005
Springer
151views Optimization» more  GECCO 2005»
14 years 1 months ago
The application of antigenic search techniques to time series forecasting
Time series have been a major topic of interest and analysis for hundreds of years, with forecasting a central problem. A large body of analysis techniques has been developed, par...
Ian Nunn, Tony White
ISSTA
2004
ACM
14 years 1 months ago
Evolutionary testing in the presence of loop-assigned flags: a testability transformation approach
Evolutionary testing is an effective technique for automatically generating good quality test data. However, for structural testing, the technique degenerates to random testing i...
André Baresel, David Binkley, Mark Harman, ...
FLAIRS
2006
13 years 9 months ago
An Artificial Neural Network for a Tank Targeting System
In this paper, we apply artificial neural networks to control the targeting system of a robotic tank in a tank-combat computer game (RoboCode). We suggest an algorithm that not on...
Hans W. Guesgen, Xiao Dong Shi