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» Evolutionary multiobjective optimization
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CEC
2011
IEEE
14 years 1 months ago
Curiosity-driven optimization
— The principle of artificial curiosity directs active exploration towards the most informative or most interesting data. We show its usefulness for global black box optimizatio...
Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gom...
EVOW
2010
Springer
15 years 8 months ago
Start-Up Optimisation of a Combined Cycle Power Plant with Multiobjective Evolutionary Algorithms
Abstract. In this paper we present a study of the application of Evolutionary Computation methods to the optimisation of the start-up of a combined cycle power plant. We propose a ...
Ilaria Bertini, Matteo De Felice, Fabio Moretti, S...
HAIS
2011
Springer
14 years 5 months ago
Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm
A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifie...
Stephen G. Matthews, Mario A. Góngora, Adri...
GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
15 years 5 months ago
Incorporating directional information within a differential evolution algorithm for multi-objective optimization
The field of Differential Evolution (DE) has demonstrated important advantages in single objective optimization. To date, no previous research has explored how the unique characte...
Antony W. Iorio, Xiaodong Li
GECCO
2007
Springer
217views Optimization» more  GECCO 2007»
15 years 3 months ago
A quantitative analysis of memory requirement and generalization performance for robotic tasks
In autonomous agent systems, memory is an important element to handle agent behaviors appropriately. We present the analysis of memory requirements for robotic tasks including wal...
DaeEun Kim