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GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
15 years 5 months ago
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach
Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and ob...
Torsten Hildebrandt, Jens Heger, Bernd Scholz-Reit...
ENGL
2006
111views more  ENGL 2006»
15 years 3 months ago
Voice Recognition with Neural Networks, Type-2 Fuzzy Logic and Genetic Algorithms
We describe in this paper the use of neural networks, fuzzy logic and genetic algorithms for voice recognition. In particular, we consider the case of speaker recognition by analyz...
Patricia Melin, Jérica Urías, Daniel...
109
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FGCS
2006
82views more  FGCS 2006»
15 years 3 months ago
PGGA: A predictable and grouped genetic algorithm for job scheduling
This paper presents a predictable and grouped genetic algorithm (PGGA) for job scheduling. The novelty of the PGGA is twofold: (1) a job workload estimati...
Maozhen Li, Bin Yu, Man Qi
JCP
2008
92views more  JCP 2008»
15 years 3 months ago
A Hierarchical Gene-Set Genetic Algorithm
In this paper, gene sets, instead of individual genes, are used in the genetic process to speed up convergence. A gene-set mutation operator is proposed, which can make several nei...
Tzung-Pei Hong, Min-Thai Wu
PRL
2007
200views more  PRL 2007»
15 years 3 months ago
Generative learning of visual concepts using multiobjective genetic programming
This paper introduces a novel method of visual learning based on Genetic Programming, which evolves a population of individuals (image analysis programs) that process attributed v...
Krzysztof Krawiec