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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Veröffentlicht in:	2015 IEEE International Conference on Systems, Man, and Cybernetics S. 2841 - 2848
Hauptverfasser:	Shiu Yin Yuen, Xin Zhang, Yang Lou
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2015
Schlagworte:	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
Online-Zugang:	Volltext
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