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ICANNGA
2009
Springer
163views Algorithms» more  ICANNGA 2009»
15 years 11 months ago
Elitistic Evolution: An Efficient Heuristic for Global Optimization
A new evolutionary algorithm, Elitistic Evolution (termed EEv), is proposed in this paper. EEv is an evolutionary method for numerical optimization with adaptive behavior. EEv uses...
Francisco Viveros Jiménez, Efrén Mez...
CIMAGING
2008
104views Hardware» more  CIMAGING 2008»
15 years 8 months ago
MCMC curve sampling and geometric conditional simulation
We present an algorithm to generate samples from probability distributions on the space of curves. Traditional curve evolution methods use gradient descent to find a local minimum...
Ayres C. Fan, John W. Fisher III, Jonathan Kane, A...
IADIS
2008
15 years 8 months ago
A Case-Based Reasoning System to Forecast the Presence Of Oil Slicks
After an oil spill it is essential to know if an area is going to be affected by the oil slicks generated. The system presented here forecasts the presence or not of oil slicks in...
Juan M. Corchado, Aitor Mata, Juan Francisco de Pa...
ICWN
2008
15 years 8 months ago
A Framework of Authentic Post-Issuance Program Modification for Multi-Application Smart Cards
Authentic program modification is very important for a multi-application smart card system since applications in the system are realized after the issuance of the smart card. In t...
Mohammad Mesbah Uddin, Salahuddin Muhammad Salim Z...
NIPS
1998
15 years 8 months ago
Gradient Descent for General Reinforcement Learning
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
Leemon C. Baird III, Andrew W. Moore