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NIPS
2008
15 years 5 months ago
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
John W. Roberts, Russ Tedrake
PPSN
2010
Springer
15 years 2 months ago
A Hybrid Genetic Algorithm for the Traveling Salesman Problem Using Generalized Partition Crossover
We present a hybrid Genetic Algorithm that incorporates the Generalized Partition Crossover (GPX) operator to produce an algorithm that is competitive with the state of the art for...
Darrell Whitley, Doug Hains, Adele E. Howe
JDCTA
2010
191views more  JDCTA 2010»
14 years 10 months ago
Improved Wavelet Neural Network Based on Hybrid Genetic Algorithm Applicationin on Fault Diagnosis of Railway Rolling Bearing
The method of improved wavelet transform neural network based on hybrid GA(genetic algorithm) is presented to diagnose rolling bearings faults in this paper. Genetic Artificial Ne...
Guoqiang Cai, Limin Jia, Jianwei Yang, Haibo Liu
130
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GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
15 years 4 months ago
A new quantum behaved particle swarm optimization
This paper presents a variant of Quantum behaved Particle Swarm Optimization (QPSO) named Q-QPSO for solving global optimization problems. The Q-QPSO algorithm is based on the cha...
Millie Pant, Radha Thangaraj, Ajith Abraham
TEC
2010
120views more  TEC 2010»
14 years 10 months ago
Benefits of a Population: Five Mechanisms That Advantage Population-Based Algorithms
This paper identifies five distinct mechanisms by which a population-based algorithm might have an advantage over a solo-search algorithm in classical optimization. These mechanism...
Adam Prügel-Bennett