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A jigsaw puzzle inspired algorithm for solving large-scale no-wait flow shop scheduling problems 期刊论文
Applied Intelligence, 2020, 卷号: 50, 期号: 1, 页码: 87-100
作者:  Zhao, Fuqing;  He, Xuan;  Zhang, Yi;  Lei, Wenchang;  Ma, Weimin
收藏  |  浏览/下载：74/0  |  提交时间：2020/11/14
High order numerical algorithms based on biquadratic spline collocation for two-dimensional parabolic partial differential equations 期刊论文
International Journal of Computer Mathematics, 2019, 卷号: 96, 页码: 500-536
作者:  Liu, Jun;  Guo, Hui;  Jiang, Yao-Lin;  Wang, Yan
收藏  |  浏览/下载：22/0  |  提交时间：2019/11/19
Stationary clearance link algorithm for solving the counter-force in the clearance revolute joint of crank slider system 期刊论文
Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2017, 卷号: 37, 页码: 15-18
作者:  Chen, Wei;  Yu, Ru-Fei;  Li, Pei
收藏  |  浏览/下载：4/0  |  提交时间：2019/11/26
A feasible direction algorithm for solving 3D sensor network localization 期刊论文
Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications, 2016, 卷号: 39, 期号: 2, 页码: 98-102
作者:  Chang, Xiao-Kai;  Zhu, Wan-Jie;  Li, De-Kui
收藏  |  浏览/下载：2/0  |  提交时间：2020/11/14
Adaptive galerkin method with relevant basis functions for pdes with boundary conditions 会议论文
作者:  Li, Bing;  Han, Luofeng;  Quan, Shuanglu
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/02
A new algorithm for solving the best-fit sphere of optical aspherical surface (EI CONFERENCE) 会议论文
2nd International Conference on Advances in Materials and Manufacturing, ICAMMP 2011, December 16, 2011 - December 18, 2011, Guilin, China
Lin J.; Yang J.; Lu M.
收藏  |  浏览/下载：32/0  |  提交时间：2013/03/25
To solve the best-fit sphere (BFS) accurately is one of the technological keys for the generating and testing of optical aspherical surfaces. This paper presents a new algorithm for solving the BFS of aspherical surfaces to suppress some deficiencies in the existing BFS algorithms. In the proposed approach  it is not only suitable for the conic surface  a BFS is constructed  but also for higher order aspheres. The obtained asphericity and material removal function is more suitable for the machining and test. (2012) Trans Tech Publications  which passes through both sides of endpoints in the section o -?xy of the aspherical surfaces  Switzerland.  the center of the BFS is shifted along the x-axis  and its radius of curvature is automatically computed. The variable step size method is proposed to speed up the convergence of the iteration. Through numerically solving the BFS of conic and cubic surface  the advantages of the proposed approach are verified. The results show that the proposed approach is of rapid convergence  and high accuracy  
Energy-saving scheduling strategy for elevator group control system based on ant colony optimization (EI CONFERENCE) 会议论文
2010 IEEE Youth Conference on Information, Computing and Telecommunications, YC-ICT 2010, November 28, 2010 - November 30, 2010, Beijing, China
Zhang J.-L.; Tang J.; Zong Q.; Li J.-F.
收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25
Elevator group control scheduling is to dispatch every elevator to serve call requests from different floors based on some certain goal. It's a kind of typical combinatorial optimization problems. Ant colony algorithm is good at solving the discrete combinatorial optimization  its well global optimization ability and quick convergence velocity are both necessary to a scheduling algorithm. Moreover  reducing passengers' waiting and traveling time is the main focus of current dispatching algorithms  neglecting the energy consumed by the elevator system. So it's necessary to research on energy-saving algorithms. For the purpose of elevator group's energy-conservation run  the objective function of energy is built  ant colony model for elevator group control system is created  its optimization mechanism is figured out  and convergence of the algorithm is studied in this paper. Simulation results show the effectiveness of the strategy. 2010 IEEE.  
Design and image restoration research of a cubic-phase-plate system (EI CONFERENCE) 会议论文
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, April 26, 2010 - April 29, 2010, Dalian, China
Zhang X.; Zhang X.; Shi G.; Zhang J.; He F.
收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25
Wave-front coding technology is a novel jointly optical and digital imaging technology which can greatly extend the depth of focus of optical systems. The image restoration process is an important part of wave-front coding technology. Using wave-front coding makes the modulation transfer function(MTF) values of the optical systems change little over a range of several times the depth of focus  which means the system MTF is quite insensitive to defocus  and there is no zero in the passband. So we can design a single filter for the restoration of images in different defocus positions. However  it's hard to avoid noise during image acquisition and transmission processes. These noises will be amplified in the image restoration  especially in the high frequency part when the MTF drop is relatively low. The restoration process significantly reduces the system signal to noise ratio this way. Aimed at the problem of noise amplification  a new algorithm was proposed which incorporated wavelet denoising into the iterative steps of Lucy-Richardson algorithm. Better restoration results were obtained through the new algorithm  effectively solving the noise amplification problem of original LR algorithm. Two sets of identical triplet imaging systems were designed  in one of which the cubic-phase-plate was added. Imaging experiments of the manufactured systems were carried  and the images of a traditional system and a wave-front coded system before and after decoding were compared. The results show that the designed wave-front coded system can extend the depth of focus by 40 times compared with the traditional system while maintaining the light flux and the image plane resolution. 2010 Copyright SPIE - The International Society for Optical Engineering.  
Ethnic group evolution algorithm 期刊论文
Ruan Jian Xue Bao/Journal of Software, 2010, 卷号: 21, 期号: 5, 页码: 978-990
作者:  Chen, Hao;  Cui, Du-Wu
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/18
An improved discrete particle swarm optimization algorithm for TSP (EI CONFERENCE) 会议论文
2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007, November 2, 2007 - November 5, 2007, Silicon Valley, CA, United states
Zhang C.; Sun J.; Wang Y.; Yang Q.
收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25

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