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» Evolutionary algorithms and dynamic programming
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GECCO
2008
Springer
130views Optimization» more  GECCO 2008»
15 years 5 months ago
Fitnessless coevolution
We introduce fitnessless coevolution (FC), a novel method of comparative one-population coevolution. FC plays games between individuals to settle tournaments in the selection pha...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
CEC
2007
IEEE
15 years 4 months ago
Entropy-based Memetic Particle Swarm Optimization for computing periodic orbits of nonlinear mappings
— The computation of periodic orbits of nonlinear mappings is very important for studying and better understanding the dynamics of complex systems. Evolutionary algorithms have s...
Y. G. Petalas, Konstantinos E. Parsopoulos, Michae...
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 1 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel
ISSTA
2010
ACM
15 years 6 months ago
Perturbing numerical calculations for statistical analysis of floating-point program (in)stability
Writing reliable software is difficult. It becomes even more difficult when writing scientific software involving floating-point numbers. Computers provide numbers with limite...
Enyi Tang, Earl T. Barr, Xuandong Li, Zhendong Su
INFOCOM
2008
IEEE
15 years 10 months ago
On Optimal Sizing of Tiered Network Services
Abstract— We develop an economic model for networks offering tiered services and we formulate the problem of selecting the service tiers from three perspectives: one that conside...
Qian Lv, George N. Rouskas