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Quantum Immune Algorithm and Its Application in Collision Detection
LSMS/ICSEE, 2010Collision detection is very important to improve the truth and immersion in the virtual environment. Firstly the paper analyzes the problems that exist in traditional algorithms. There is no algorithm suitable to every situation, and the more complex the situations are, the more rapidly the efficiency declines.
Jue Wu +3 more
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A Chaos Quantum Immune Algorithm for power system economic dispatch computation
2011 3rd International Conference on Computer Research and Development, 2011By integrating the ergodicity of chaos searching and the high efficiency of quantum computation into immune optimization, a novel chaos quantum immune algorithm for power system economic dispatch computation is presented. In this algorithm, antibodies in colonies are coded by quantum bits and updated by quantum rotation gates. To change phase of qubit,
Xiao Li
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A Quantum Immune Algorithm for Multiobjective Parallel Machine Scheduling
International Conference on Swarm Intelligence, 2010The study presents a novel quantum immune algorithm (QIA) for solving the parallel machine scheduling in the textile manufacturing industry In this proposed algorithm, there are distinct characteristics as follows First, the encoding method is based on Q-bit representation Second, a novel mutation operator with a chaos-based rotation gate is proposed ...
Zhimin Fang
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2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, 2010
A new kind of quantum immune clonal algorithm for continuous space optimization is proposed in this paper, by the introduction of quantum computation into immune clonal optimization. The antibodies are represented by a group of quantum bits. Quantum bits are updated by quantum rotation gate to accelerate convergence.
null Yin Qiaoyu +2 more
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A new kind of quantum immune clonal algorithm for continuous space optimization is proposed in this paper, by the introduction of quantum computation into immune clonal optimization. The antibodies are represented by a group of quantum bits. Quantum bits are updated by quantum rotation gate to accelerate convergence.
null Yin Qiaoyu +2 more
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Quantum immune fast spectral clustering for automatic detection of oil spill
Synthetic Aperture Radar Imaging Mechanism for Oil Spills, 2020This chapter introduces a new novelty for automatic detection of oil spills from polarimetric SAR images. To these ends, multipolarimetric SAR data have been used throughout this chapter, such as UAVSAR, quad-pol mode on RADARSAT-2, TerraSAR-X strip map (
M. Marghany
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An efficient quantum immune algorithm to minimize mean flow time for hybrid flow shop problems
Mathematics and Computers in Simulation, 2012Qun Niu +3 more
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Journal of Colloid and Interface Science, 2022
A method for simultaneous labeling and multicolor fluorescence imaging of different hepatic immune cells below freezing point is established based on quantum dots.
Yan-Fei He +7 more
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A method for simultaneous labeling and multicolor fluorescence imaging of different hepatic immune cells below freezing point is established based on quantum dots.
Yan-Fei He +7 more
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2021 6th Asia Conference on Power and Electrical Engineering (ACPEE), 2021
This paper presents electricity price forecasting method based on quantum immune optimization Back Propagation (BP) neural network algorithm. The prediction model of electric price can be constructed with BP neural network algorithm, however, the BP neural network is readily trapped in local optimal in the electricity price prediction. With this regard,
Xuan Zhang +5 more
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This paper presents electricity price forecasting method based on quantum immune optimization Back Propagation (BP) neural network algorithm. The prediction model of electric price can be constructed with BP neural network algorithm, however, the BP neural network is readily trapped in local optimal in the electricity price prediction. With this regard,
Xuan Zhang +5 more
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Large-scale data clustering algorithm based on quantum immune regulation network
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017Clustering is one of the unsupervised machine learning methods in data mining. It organizes a collection of data into different groups. With the rapid development of information technology, the scale of data is increasingly large, and the type of data tends to diversify, the traditional clustering algorithms have been unable to effectively solve the ...
Yangyang Li +3 more
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A Novel Quantum Immune Algorithm for Multiobjective Flexible Job Shop Scheduling
International Journal on Artificial Intelligence Tools, 2014In this study, a hybrid of Quantum Evolutionary and Artificial Immune Algorithms (QIA) is proposed for solving Multiobjective Flexible Job Shop Scheduling Problem (MFJSSP). This problem is formulated as three-objective problem which minimizes completion time (makespan), critical machine workload and total work load of all machines.
Zohreh Davarzani +1 more
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