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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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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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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 0015 +3 more
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Quantum Immune Algorithm and Its Application in Collision Detection
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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Cloud Service Selection Based on Chaos Quantum Immune Algorithm
2018 10th International Conference on Modelling, Identification and Control (ICMIC), 2018The problem we are trying to solve in this paper is the selection of cloud service. Cloud service is a new kind of network service based on cloud computing platform. In the face of dynamic and diverse user demands, it is not only concerned to the quality of service (QoS), but also the search efficiency.
Chao Zhou +3 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 0001 +3 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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Using quantum immune clone algorithm in the prediction of tourism emergency events
2007 International Conference on Control, Automation and Systems, 2007The development of tourism industry has become so fast today. However, there are unexpected events occurring in the developing process. Based on the tourism information in recent years, this paper combine quantum computing with immune clone algorithm and applied them to the data mining of emergency events of tourism information, deducing the links ...
null Du Junping +3 more
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On the Theory and Practice of Quantum-Immune Cryptography
2008Public-Key-Kryptografie ist eine Schlüsseltechnologie zur Absicherung des Internets und anderer IT-Infrastrukturen. Die Sicherheit etablierter Public-Key-Kryptoverfahren beruht auf der Schwierigkeit des Faktorisierens großer Zahlen oder des Berechnens diskreter Logarithmen.
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