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Quantum immune clone for solving constrained multi-objective optimization
2015 IEEE Congress on Evolutionary Computation (CEC), 2015This paper proposes a quantum immune clone algorithm to solve the constrained multi-objective optimization problem. Firstly, constraints deviation value is added to objective function value to form a new objective function value, which translates the constrained multi-objective optimization problem into an unconstrained multi-objective optimization ...
Ronghua Shang +3 more
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Fire Distribution Optimization Based on Quantum Immune Genetic Algorithm
2011 International Conference of Information Technology, Computer Engineering and Management Sciences, 2011In order to solve fire distribution optimization problem, quantum immune genetic algorithm model is built in the paper. Immune genetic algorithm is introduced to the quantum genetic algorithm to enhance the precision and the stability of the quantum genetic algorithm, which includes the mechanism of immunological memory and immunologic and keeps the ...
Zhi Teng Wang +4 more
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Image Segmentation Using FCM Optimized by Quantum Immune Clone Algorithm
2014 Fifth International Conference on Intelligent Systems Design and Engineering Applications, 2014The traditional Fuzzy C-Means (FCM) clustering algorithm is usually based on the image intensity, so the segmentation results are unsatisfactory when the images are impacted by noise. Considering this shortcoming, in this paper the FCM objective function is improved by adding two kinds of spatial information: the relative position information and the ...
Yu Li, Fei Tong, Guojian Cheng
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Image Segmentation Algorithm Based on Quantum Immune Programming
2007 IEEE International Conference on Integration Technology, 2007A quantum immune programming is presented by combining quantum theory with the clonal selection and immune mechanism in artificial immune system. Based on the thresholding image segmentation principle, the quantum immune programming is applied in the optimization of threshold value of grey image segmentation.
Xiaojun Bi, Guifang Jin
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Quantum immune clonal coevolutionary algorithm for dynamic multiobjective optimization
Soft Computing, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shang, Ronghua +4 more
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Spectrum Allocation in Cognitive Radio -- Quantum Immune Clonal Based Approach
2014 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2014Cognitive radio is a promising technology to improve the spectrum efficiency by allowing unlicensed users to exploit the spectrum unused by licensed users in an opportunistic manner. Spectrum allocation avoids interference between cognitive users and licensed users, thus the spectrum is more efficiently used. Due to the fact that traditional methods in
Jie Li, Yuxi Liu, Qiyue Li, Lusheng Wang
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Protein Structure Prediction with Improved Quantum Immune Algorithm
2010 Third International Conference on Intelligent Networks and Intelligent Systems, 2010A novel hybrid algorithm Quantum Immune(QI), which combines Quantum Algorithm (QA) and Immune Clonal Selection(ICS) Algorithm, has been presented for dealing with multi-extremum and multi-parameter problem based on AB off-lattice model in the predicting 2D protein folding structure.
Hongbing Zhu, Jun Wu, Jianguo Wu
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Application of quantum immune algorithm for fault-section estimation
2009 2nd International Conference on Power Electronics and Intelligent Transportation System (PEITS), 2009Aiming at problems of multiple solutions in the existing optimizing models for power fault-section estimation, the improved model was established considering the influence of the reclosure, the different protection and joint influence between main and backup protections.
Zhihui Zhu, Yunlian Sun
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Quantum Immune Fast Spectral Clustering for SAR Image Segmentation
IEEE Geoscience and Remote Sensing Letters, 2012Spectral clustering algorithm suffers from memory use and computational time bottleneck when handling large-scale image segmentation. By optimizing the selection of representative points before spectral embedding, a fast spectral clustering method with quantum immune optimization is proposed.
S. P. Gou, X. Zhuang, L. C. Jiao
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Alternative combination of quantum immune algorithm and back propagation neural network
2011 Seventh International Conference on Natural Computation, 2011The handwritten recognition is an important but difficult problem and the back propagation neural network (BP neural network) is the common solution. However, considering the shortcoming that BP neural network can easily be trapped in the local optimal solutions and have slow convergence, this paper proposes a new method to improve the performance with
Xiao Ji +3 more
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