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13

ASC
2010

110views Artificial Intelligence» more ASC 2010»

Sequential anomaly detection based on temporal-difference learning: Principles, models and case studies

13 years 2 months ago

Sequential anomaly detection based on temporal-difference learning: Principles, models and case studies

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Xin Xu

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11

ASC
2010

99views Artificial Intelligence» more ASC 2010»

Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot

13 years 4 months ago

Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot

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Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Gar...

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11

ASC
2010

128views Artificial Intelligence» more ASC 2010»

The use of computational intelligence in intrusion detection systems: A review

13 years 4 months ago

The use of computational intelligence in intrusion detection systems: A review

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Shelly Xiaonan Wu, Wolfgang Banzhaf

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9

ASC
2010

140views Artificial Intelligence» more ASC 2010»

A novel particle swarm optimizer hybridized with extremal optimization

13 years 4 months ago

A novel particle swarm optimizer hybridized with extremal optimization

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Min-Rong Chen, Xia Li, Xi Zhang, Yong-Zai Lu

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18

ASC
2010

186views Artificial Intelligence» more ASC 2010»

The SR-GCWS hybrid algorithm for solving the capacitated vehicle routing problem

13 years 4 months ago

The SR-GCWS hybrid algorithm for solving the capacitated vehicle routing problem

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Angel A. Juan, Javier Faulin, Rubén Ruiz, B...

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15

ASC
2010

166views Artificial Intelligence» more ASC 2010»

Genotype representations in grammatical evolution

13 years 4 months ago

Genotype representations in grammatical evolution

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Grammatical evolution (GE) is a form of grammar-based genetic programming. A particular feature of GE is that it adopts a distinction between the genotype and phenotype similar to...

Jonatan Hugosson, Erik Hemberg, Anthony Brabazon, ...

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13

ASC
2010

124views Artificial Intelligence» more ASC 2010»

Simplifying Particle Swarm Optimization

13 years 4 months ago

Simplifying Particle Swarm Optimization

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The general purpose optimization method known as Particle Swarm Optimization (PSO) has received much attention in past years, with many attempts to find the variant that performs ...

M. E. H. Pedersen, Andrew J. Chipperfield

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