文献类型：期刊文献

英文题名：On improved parallel immune quantum evolutionary algorithm based on learning mechanism

作者：You, Xiaoming[1,2]; Shuai, Dianxun[1]; Liu, Sheng[1,2]

机构：[1] Dept. of Computer Science and Technology, East China University of Science and Technology, Shanghai, China; [2] College of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China

年份：2006

卷号：1

起止页码：908

外文期刊名：Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications

收录：EI(收录号：20073210746359)

语种：英文

外文关键词：Convergence of numerical methods - Learning systems - Problem solving - Quantum computers - Topology

摘要：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. ? 2006 IEEE.