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» Evolving heuristics with genetic programming
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CEC
2005
IEEE
14 years 3 months ago
Evolving dispatching rules for solving the flexible job-shop problem
We solve the Flexible Job-Shop Problem (FJSP) by using dispatching rules discovered through Genetic Programming (GP). While Simple Priority Rules (SPR) have been widely applied in ...
Nhu Binh Ho, Joc Cing Tay
EH
2004
IEEE
163views Hardware» more  EH 2004»
14 years 1 months ago
Towards Evolvable Analog Artificial Neural Networks Controllers
This work deals with the design of analog circuits for Artificial Neural Networks (ANNs) controllers using an Evolvable Hardware (EHW) platform. ANNs are massively parallel system...
José Franco Machado do Amaral, Jorge Lu&iac...
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
14 years 1 months ago
Growth of self-canceling code in evolutionary systems
This research examines the behavior of inoperative code (introns) in the evolution of genetically robust solutions. Genetically robust solutions are solutions that are less likely...
Xue Zhong, Terence Soule
AHS
2007
IEEE
253views Hardware» more  AHS 2007»
14 years 4 months ago
evolFIR: Evolving redundancy-free FIR structures
Finite impulse response (FIR) structures are the most commonly used digital filters and can be found in various areas of everyday life. In this paper we introduce a novel approac...
Szilvia Zvada, Gabriella Kókai, Róbe...
EUROGP
2007
Springer
161views Optimization» more  EUROGP 2007»
14 years 4 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...