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GECCO
2003
Springer
123views Optimization» more  GECCO 2003»
15 years 11 months ago
Analysis of the (1+1) EA for a Dynamically Bitwise Changing OneMax
Abstract. Although evolutionary algorithms (EAs) are often successfully used for the optimization of dynamically changing objective function, there are only very few theoretical re...
Stefan Droste
AROBOTS
1999
104views more  AROBOTS 1999»
15 years 5 months ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...
NC
2002
210views Neural Networks» more  NC 2002»
15 years 5 months ago
Recent approaches to global optimization problems through Particle Swarm Optimization
This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detectin...
Konstantinos E. Parsopoulos, Michael N. Vrahatis
CASES
2006
ACM
16 years 4 days ago
Methods for power optimization in distributed embedded systems with real-time requirements
Dynamic voltage scaling and sleep state control have been shown to be extremely effective in reducing energy consumption in CMOS circuits. Though plenty of research papers have st...
Razvan Racu, Arne Hamann, Rolf Ernst, Bren Mochock...
ICPR
2008
IEEE
16 years 7 months ago
A method of feature selection using contribution ratio based on boosting
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...
Masamitsu Tsuchiya, Hironobu Fujiyoshi