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» Investigating human-computer optimization
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GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
15 years 9 months ago
A Comment on Opt-AiNET: An Immune Network Algorithm for Optimisation
Verifying the published results of algorithms is part of the usual research process. This helps to both validate the existing literature, but also quite often allows for new insigh...
Jon Timmis, Camilla Edmonds
CEAS
2007
Springer
15 years 8 months ago
Online Active Learning Methods for Fast Label-Efficient Spam Filtering
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
D. Sculley
CEC
2009
IEEE
15 years 11 months ago
Hyper-learning for population-based incremental learning in dynamic environments
— The population-based incremental learning (PBIL) algorithm is a combination of evolutionary optimization and competitive learning. Recently, the PBIL algorithm has been applied...
Shengxiang Yang, Hendrik Richter
CEC
2009
IEEE
15 years 11 months ago
Mixed Mutation Strategy Embedded Differential Evolution
Differential evolution (DE) is a powerful yet simple evolutionary algorithm for optimizing real valued optimization problems. Traditional investigations with differential evolution...
Millie Pant, Musrrat Ali, Ajith Abraham
ICC
2007
IEEE
141views Communications» more  ICC 2007»
15 years 10 months ago
A Decomposition-Based Low-Complexity Scheduling Scheme for Power Minimization under Delay Constraints in Time-Varying Uplink Cha
Abstract— In this paper, we investigate the problem of minimizing the average transmission power of users while guaranteeing the average delay constraints in time-varying uplink ...
Hojoong Kwon, Byeong Gi Lee