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156
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GECCO
2007
Springer
119views Optimization» more  GECCO 2007»
16 years 1 months ago
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
Emma Byrne
219
Voted
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
16 years 1 months ago
Observing the swarm behaviour during its evolutionary design
Evolutionary Algorithms (EAs) can be used for designing Particle Swarm Optimization (PSO) algorithms that work, in some cases, considerably better than the human-designed ones. By...
Laura Diosan, Mihai Oltean
210
Voted
HPCC
2007
Springer
16 years 1 months ago
A Complex Network-Based Approach for Job Scheduling in Grid Environments
Many optimization techniques have been adopted for efficient job scheduling in grid computing, such as: genetic algorithms, simulated annealing and stochastic methods. Such techni...
Renato Porfirio Ishii, Rodrigo Fernandes de Mello,...
HPCC
2007
Springer
16 years 1 months ago
Quantification of Cut Sequence Set for Fault Tree Analysis
A new evaluation method is presented that employs cut sequence set (CSS) to analyze fault trees. A cut sequence is a set of basic events that fail in a specific order that can indu...
Dong Liu, Chunyuan Zhang, Weiyan Xing, Rui Li, Hai...
ICB
2007
Springer
308views Biometrics» more  ICB 2007»
16 years 1 months ago
Learning Multi-scale Block Local Binary Patterns for Face Recognition
Abstract. In this paper, we propose a novel representation, called Multiscale Block Local Binary Pattern (MB-LBP), and apply it to face recognition. The Local Binary Pattern (LBP) ...
ShengCai Liao, XiangXin Zhu, Zhen Lei, Lun Zhang, ...
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