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NPL
2000
135views more  NPL 2000»
15 years 6 months ago
Towards the Optimal Learning Rate for Backpropagation
A backpropagation learning algorithm for feedforward neural networks with an adaptive learning rate is derived. The algorithm is based upon minimising the instantaneous output erro...
Danilo P. Mandic, Jonathon A. Chambers
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
16 years 26 days ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
ICTAI
2010
IEEE
15 years 4 months ago
PKOPT: Faster k-Optimal Solution for DCOP by Improving Group Selection Strategy
A significant body of work in multiagent systems over more than two decades has focused on multi-agent coordination (1). Many challenges in multi-agent coordination can be modeled ...
Elnaz Bigdeli, Maryam Rahmaninia, Mohsen Afsharchi
CEC
2005
IEEE
16 years 10 days ago
A population-based, steady-state procedure for real-parameter optimization
Despite the existence of a number of procedures for real-parameter optimization using evolutionary algorithms, there is still a need of a systematic and unbiased comparison of diï...
Ankur Sinha, Santosh Tiwari, Kalyanmoy Deb
EMO
2005
Springer
120views Optimization» more  EMO 2005»
16 years 7 days ago
Multiobjective Optimization on a Budget of 250 Evaluations
Abstract. In engineering and other ‘real-world’ applications, multiobjective optimization problems must frequently be tackled on a tight evaluation budget — tens or hundreds ...
Joshua D. Knowles, Evan J. Hughes