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GECCO
2004
Springer
13 years 10 months ago
Improving the Performance of a Genetic Algorithm Using a Variable-Reordering Algorithm
Genetic algorithms have been successfully applied to many difficult problems but there have been some disappointing results as well. In these cases the choice of the internal repre...
Eduardo Rodriguez-Tello, Jose Torres-Jimenez
GECCO
2009
Springer
192views Optimization» more  GECCO 2009»
13 years 2 months ago
Improving SMT performance: an application of genetic algorithms to configure resizable caches
Simultaneous Multithreading (SMT) is a technology aimed at improving the throughput of the processor core by applying Instruction Level Parallelism (ILP) and Thread Level Parallel...
Josefa Díaz, José Ignacio Hidalgo, F...
ACL
2010
13 years 3 months ago
A New Approach to Improving Multilingual Summarization Using a Genetic Algorithm
Automated summarization methods can be defined as "language-independent," if they are not based on any languagespecific knowledge. Such methods can be used for multiling...
Marina Litvak, Mark Last, Menahem Friedman
CORR
1998
Springer
164views Education» more  CORR 1998»
13 years 4 months ago
Training Reinforcement Neurocontrollers Using the Polytope Algorithm
A new training algorithm is presented for delayed reinforcement learning problems that does not assume the existence of a critic model and employs the polytope optimization algorit...
Aristidis Likas, Isaac E. Lagaris
ICMLA
2007
13 years 6 months ago
Improving gene expression programming performance by using differential evolution
Gene Expression Programming (GEP) is an evolutionary algorithm that incorporates both the idea of a simple, linear chromosome of fixed length used in Genetic Algorithms (GAs) and...
Qiongyun Zhang, Chi Zhou, Weimin Xiao, Peter C. Ne...