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GECCO
2006
Springer
174views Optimization» more  GECCO 2006»
15 years 10 months ago
On the analysis of the (1+1) memetic algorithm
Memetic algorithms are evolutionary algorithms incorporating local search to increase exploitation. This hybridization has been fruitful in countless applications. However, theory...
Dirk Sudholt
254
Voted
ABIALS
2008
Springer
15 years 9 months ago
Multiscale Anticipatory Behavior by Hierarchical Reinforcement Learning
Abstract. In order to establish autonomous behavior for technical systems, the well known trade-off between reactive control and deliberative planning has to be considered. Within ...
Matthias Rungger, Hao Ding, Olaf Stursberg
CEC
2010
IEEE
15 years 8 months ago
Improving GP classification performance by injection of decision trees
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
Rikard König, Ulf Johansson, Tuve Löfstr...
CN
2006
127views more  CN 2006»
15 years 7 months ago
A survey on communication networks for electric system automation
In today' s competitive electric utility marketplace, real-time information becomes the key factor for reliable delivery of power to the end-users, profitability of the electr...
Vehbi C. Gungor, Frank C. Lambert
JAR
2000
90views more  JAR 2000»
15 years 6 months ago
Resolution versus Search: Two Strategies for SAT
The paper compares two popular strategies for solving propositional satis ability, backtracking search and resolution, and analyzes the complexity of a directional resolution algo...
Irina Rish, Rina Dechter