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» On the Brittleness of Evolutionary Algorithms
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EVOW
2006
Springer
15 years 10 months ago
Divide-and-Evolve: A New Memetic Scheme for Domain-Independent Temporal Planning
An original approach, termed Divide-and-Evolve is proposed to hybridize Evolutionary Algorithms (EAs) with Operational Research (OR) methods in the domain of Temporal Planning Prob...
Marc Schoenauer, Pierre Savéant, Vincent Vi...
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 10 months ago
Parisian evolution with honeybees for three-dimensional reconstruction
This paper introduces a novel analogy with the way in which honeybee colonies operate in order to solve the problem of sparse and quasi dense reconstruction. To successfully solve...
Gustavo Olague, Cesar Puente
GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
15 years 10 months ago
Single and multi-objective genetic operators in object-oriented conceptual software design
This poster paper investigates the potential of single and multiobjective genetic operators with an object-oriented conceptual design space. Using cohesion as an objective fitness...
Christopher L. Simons, Ian C. Parmee
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
16 years 1 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria
GECCO
2008
Springer
152views Optimization» more  GECCO 2008»
15 years 7 months ago
Combatting financial fraud: a coevolutionary anomaly detection approach
A major difficulty for anomaly detection lies in discovering boundaries between normal and anomalous behavior, due to the deficiency of abnormal samples in the training phase. In...
Shelly Xiaonan Wu, Wolfgang Banzhaf