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» A New Multi-objective Evolutionary Optimisation Algorithm: T...
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CP
2005
Springer
13 years 8 months ago
Evolving Variable-Ordering Heuristics for Constrained Optimisation
In this paper we present and evaluate an evolutionary approach for learning new constraint satisfaction algorithms, specifically for MAX-SAT optimisation problems. Our approach of...
Stuart Bain, John Thornton, Abdul Sattar
IWANN
2009
Springer
14 years 1 months ago
A Genetic Algorithm for ANN Design, Training and Simplification
This paper proposes a new evolutionary method for generating ANNs. In this method, a simple real-number string is used to codify both architecture and weights of the networks. Ther...
Daniel Rivero, Julian Dorado, Enrique Ferná...
GECCO
2008
Springer
153views Optimization» more  GECCO 2008»
13 years 7 months ago
G-Metric: an M-ary quality indicator for the evaluation of non-dominated sets
An open problem in multiobjective optimization using the Pareto optimality criteria, is how to evaluate the performance of different evolutionary algorithms that solve multi– o...
Giovanni Lizárraga Lizárraga, Arturo...
EVOW
2006
Springer
13 years 10 months ago
Mining Structural Databases: An Evolutionary Multi-Objetive Conceptual Clustering Methodology
Abstract. The increased availability of biological databases containing representations of complex objects permits access to vast amounts of data. In spite of the recent renewed in...
Rocío Romero-Záliz, Cristina Rubio-E...
EC
2007
120views ECommerce» more  EC 2007»
13 years 6 months ago
On Replacement Strategies in Steady State Evolutionary Algorithms
Steady-State models of Evolutionary Algorithms are widely used, yet surprisingly little attention has been paid to the effects arising from different replacement strategies. This ...
Jim Smith