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GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
14 years 25 days ago
Combining simplex with niche-based evolutionary computation for job-shop scheduling
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
Syhlin Kuah, Joc Cing Tay
EVOW
2009
Springer
14 years 4 months ago
A Hybrid Algorithm for Computing Tours in a Spare Parts Warehouse
We consider a real-world problem arising in a warehouse for spare parts. Items ordered by customers shall be collected and for this purpose our task is to determine efficient picku...
Matthias Prandtstetter, Günther R. Raidl, Tho...
EUROGP
2007
Springer
161views Optimization» more  EUROGP 2007»
14 years 3 months ago
Mining Distributed Evolving Data Streams Using Fractal GP Ensembles
A Genetic Programming based boosting ensemble method for the classification of distributed streaming data is proposed. The approach handles flows of data coming from multiple loc...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
FLAIRS
2003
13 years 10 months ago
Cost-Based Policy Mapping for Imitation
Imitation represents a powerful approach for programming and autonomous learning in robot and computer systems. An important aspect of imitation is the mapping of observations to ...
Srichandan V. Gudla, Manfred Huber
ARTMED
2002
121views more  ARTMED 2002»
13 years 9 months ago
An evolutionary artificial neural networks approach for breast cancer diagnosis
This paper presents an evolutionary artificial neural network approach based on the pareto differential evolution algorithm augmented with local search for the prediction of breas...
Hussein A. Abbass