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On Improved Parallel Immune Quantum Evolutionary Algorithm Based on Learning Mechanism
Jinan, China October 16-October 18
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.209Sixth International Conference on Int ...
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Xiaoming You, Sheng Liu, Dianxun Shuai, Xiaoming You, Sheng Liu, "On Improved Parallel Immune Quantum Evolutionary Algorithm Based on Learning Mechanism," Intelligent Systems Design and Applications, International Conference on, vol. 1, pp. 908-913, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006.
 
 
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@article{ 10.1109/ISDA.2006.209,
author = {Xiaoming You and Sheng Liu and Dianxun Shuai and Xiaoming You and Sheng Liu},
title = {On Improved Parallel Immune Quantum Evolutionary Algorithm Based on Learning Mechanism},
journal ={Intelligent Systems Design and Applications, International Conference on},
volume = {1},
year = {2006},
isbn = {0-7695-2528-8},
pages = {908-913},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.209},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Intelligent Systems Design and Applications, International Conference on
TI - On Improved Parallel Immune Quantum Evolutionary Algorithm Based on Learning Mechanism
SN - 0-7695-2528-8
SP908
EP913
A1 - Xiaoming You,
A1 - Sheng Liu,
A1 - Dianxun Shuai,
A1 - Xiaoming You,
A1 - Sheng Liu,
PY - 2006
KW - null
VL - 1
JA - Intelligent Systems Design and Applications, International Conference on
ER -
 
Xiaoming You, East China University of Science and Technology, China
Sheng Liu, East China University of Science and Technology, China
Dianxun Shuai, East China University of Science and Technology, China
Xiaoming You, Shanghai University of Engineering Science, China
Sheng Liu, Shanghai University of Engineering Science, China
A new Multi-universe Parallel Immune Quantum Evolutionary Algorithm based on Learning Mechanism (MPMQEA) is proposed, in the algorithm, all individuals are divided into some independent sub-colonies, called universes. Their topological structure is defined, each universe evolving independently uses the immune quantum evolutionary algorithm; Information among the universes is exchanged by adopting emigration based on the improved learning mechanism and quantum interaction simulating entanglement of quantum. It not only can maintain quite nicely the population diversity, but also can help to converge to the global optimal solution rapidly. The typical function tests show that MPMQEA has nice performances such as avoiding local optima, high precision solution, and quick convergence.
Citation:
Xiaoming You, Sheng Liu, Dianxun Shuai, Xiaoming You, Sheng Liu, "On Improved Parallel Immune Quantum Evolutionary Algorithm Based on Learning Mechanism," isda, vol. 1, pp.908-913, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006
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