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ECAL
2005
Springer
15 years 4 months ago
The Quantitative Law of Effect is a Robust Emergent Property of an Evolutionary Algorithm for Reinforcement Learning
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...
J. J. McDowell, Zahra Ansari
GECCO
2008
Springer
127views Optimization» more  GECCO 2008»
15 years 1 days ago
On the possibility to create a compatible--complete unary comparison method for evolutionary multiobjective algorithms
There are several studies on the desirable properties that a performance measure for evolutionary multiobjective algorithms must have. One of these properties is called “compati...
Giovanni Lizárraga Lizárraga, Arturo...
PPSN
2010
Springer
14 years 9 months ago
Design and Comparison of two Evolutionary Approaches for Solving the Rubik's Cube
Solutions calculated by Evolutionary Algorithms have come to surpass exact methods for solving various problems. The Rubik’s Cube multiobjective optimization problem is one such ...
Nail El-Sourani, Markus Borschbach
102
Voted
PKDD
1999
Springer
103views Data Mining» more  PKDD 1999»
15 years 3 months ago
An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction
Abstract. We describe EDRL-MD, an evolutionary algorithm-based system, for learning decision rules from databases. The main novelty of our approach lies in dealing with continuous ...
Wojciech Kwedlo, Marek Kretowski
AAAI
2006
15 years 12 days ago
A Sequential Covering Evolutionary Algorithm for Expressive Music Performance
In this paper, we describe an evolutionary approach to one of the most challenging problems in computer music: modeling the knowledge applied by a musician when performing a score...
Rafael Ramirez, Amaury Hazan, Jordi Marine, Esteba...