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GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
15 years 3 months ago
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms
In this work we present a novel and efficient algorithm– independent stopping criterion, called the MGBM criterion, suitable for Multiobjective Optimization Evolutionary Algorit...
Luis Martí, Jesús García, Ant...
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 2 months ago
On the generality of parameter tuning in evolutionary planning
Divide-and-Evolve (DaE) is an original “memeticization” of Evolutionary Computation and Artificial Intelligence Planning. However, like any Evolutionary Algorithm, DaE has se...
Jacques Bibai, Pierre Savéant, Marc Schoena...
EVOW
2010
Springer
15 years 1 months ago
On the Benefit of Sub-optimality within the Divide-and-Evolve Scheme
Divide-and-Evolve (DaE) is an original "memeticization" of Evolutionary Computation and Artificial Intelligence Planning. DaE optimizes either the number of actions, or t...
Jacques Bibai, Pierre Savéant, Marc Schoena...
GECCO
2004
Springer
212views Optimization» more  GECCO 2004»
15 years 3 months ago
An Evolutionary Autonomous Agent with Visual Cortex and Recurrent Spiking Columnar Neural Network
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
Rich Drewes, James B. Maciokas, Sushil J. Louis, P...
EVOW
2007
Springer
15 years 3 months ago
Unsupervised Evolutionary Segmentation Algorithm Based on Texture Analysis
Abstract. This work describes an evolutionary approach to texture segmentation, a long-standing and important problem in computer vision. The difficulty of the problem can be relat...
Cynthia B. Pérez, Gustavo Olague