Sequential Learnable Evolutionary Algorithm: A Research Program

Evolutionary algorithms are typically run several times in design optimization problems and the best solution taken. We propose a novel online algorithm selection framework that learns to use the best algorithm based on previous runs, hence in effect using different and better algorithms as the sear...

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Vydané v:	2015 IEEE International Conference on Systems, Man, and Cybernetics s. 2841 - 2848
Hlavní autori:	Shiu Yin Yuen, Xin Zhang, Yang Lou
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2015
Predmet:	Algorithm design and analysis algorithm selection Classification algorithms design optimization problems Evolutionary computation Machine learning algorithms multi-restart algorithm new research program Optimization Portfolios Prediction algorithms
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