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| 1 | Hybridizing grey wolf optimization with differential evolution for global optimization and test scheduling for 3D stacked SoC显示文摘A new meta-heuristic method is proposed to enhance current meta-heuristic methods for global optimization and test scheduling for three-dimensional(3D) stacked system-on-chip(SoC) by hybridizing grey wolf optimization with differential evolution(HGWO). Because basic grey wolf optimization(GWO) is easy to fall into stagnation when it carries out the operation of attacking prey, and differential evolution(DE) is integrated into GWO to update the previous best position of grey wolf Alpha, Beta and Delta, in order to force GWO to jump out of the stagnation with DE's strong searching ability. The proposed algorithm can accelerate the convergence speed of GWO and improve its performance.Twenty-three well-known benchmark functions and an NP hard problem of test scheduling for 3D SoC are employed to verify the performance of the proposed algorithm. Experimental results show the superior performance of the proposed algorithm for exploiting the optimum and it has advantages in terms of exploration. | Aijun Zhu Chuanpei Xu Zhi Li Jun Wu Zhenbing Liu | 2015 | Journal of Systems Engineering and Electronics2015，26，2： | 83 |
| 2 | Multimineral optimization processing method based on elemental capture spectroscopy logging显示文摘Calculating the mineral composition is a critical task in log interpretation. Elementalcapture spectroscopy (ECS) log provides the weight percentages of twelve common elements,which lays the foundation for the accurate calculation of mineral compositions. Previousprocessing methods calculated the formation composition via the conversion relation betweenthe formation chemistry and minerals. Thus, their applicability is limited and the methodprecision is relatively low. In this study, we present a multimineral optimization processingmethod based on the ECS log. We derived the ECS response equations for calculating theformation composition, then, determined the logging response values for the elements ofcommon minerals using core data and theoretical calculations. Finally, a software modulewas developed. The results of the new method are consistent with core data and the meanabsolute error is less than 10%. | 冯周 李心童 武宏亮 夏守姬 刘英明 | 2014 | Applied Geophysics2014，11，1： | 10 |
| 3 | An adaptive trust region method and its convergence显示文摘In this paper, a new trust region subproblem is proposed. The trust radius in the new subproblem adjusts itself adaptively. As a result, an adaptive trust region method is constructed based on the new trust region subproblem. The local and global convergence results of the adaptive trust region method are proved.Numerical results indicate that the new method is very efficient. | 章祥荪 张菊亮 廖立志 | 2002 | Science China Mathematics2002，45，5： | 9 |
| 4 | Constructs of highly effective heat transport paths by bionic optimization显示文摘The optimization approach based on the biological evolution principle is used to con-struct the heat transport paths for volume-to-point problem. The transport paths are constructed by inserting high conductivity materials in the heat conduction domain where uniform or nonuniform heat sources exist. In the bionic optimization process, the optimal constructs of the high conductiv-ity material are obtained by numerically simulating the evolution and degeneration process ac-cording to the uniformity principle of the temperature gradient. Finally, preserving the features of the optimal constructs, the constructs are regularized for the convenience of engineering manu-facture. The results show that the construct obtained by bionic optimization is approximate to that obtained by the tree-network constructal theory when the heat conduction is enhanced for the do-main with a uniform heat source and high conductivity ratio of the inserting material to the sub-strate, the high conductivity materials are mainly concentrated on the heat outlet for the case with a uniform heat source and low thermal conductivity ratio, and for the case with nonuniform heat sources, the high conductivity material is concentrated in the heat source regions and construacts several highly effective heat transport paths to connect the regions to the outlet. | 程新广 李志信 过增元 | 2003 | Science China(Technological Sciences)2003，46，3： | 7 |
| 5 | Viscoacoustic prestack reverse time migration based onthe optimal time-space domain high-order finite-difference method显示文摘Prestack reverse time migration (RTM) is an accurate imaging method ofsubsurface media. The viscoacoustic prestack RTM is of practical significance because itconsiders the viscosity of the subsurface media. One of the steps of RTM is solving thewave equation and extrapolating the wave field forward and backward; therefore, solvingaccurately and efficiently the wave equation affects the imaging results and the efficiencyof RTM. In this study, we use the optimal time-space domain dispersion high-order finite-difference (FD) method to solve the viscoacoustic wave equation. Dispersion analysis andnumerical simulations show that the optimal time-space domain FD method is more accurateand suppresses the numerical dispersion. We use hybrid absorbing boundary conditions tohandle the boundary reflection. We also use source-normalized cross-correlation imagingconditions for migration and apply Laplace filtering to remove the low-frequency noise.Numerical modeling suggests that the viscoacoustic wave equation RTM has higher imagingresolution than the acoustic wave equation RTM when the viscosity of the subsurface isconsidered. In addition, for the wave field extrapolation, we use the adaptive variable-lengthFD operator to calculate the spatial derivatives and improve the computational efficiencywithout compromising the accuracy of the numerical solution. | 赵岩 刘洋 任志明 | 2014 | Applied Geophysics2014，11，1： | 7 |
| 6 | A theoretical analysis on efficiency of some Newton-PCG methods显示文摘In this paper, we study the efficiency issue of inexact Newton-type methods for smooth unconstrained optimization problems under standard assumptions from theoretical point of view by discussing a concrete Newton-PCG algorithm. In order to compare the algorithm with Newton's method, a ratio between the measures of their approximate efficiencies is investigated. Under mild conditions, it is shown that first, this ratio is larger than 1, which implies that the Newton-PCG algorithm is more efficient than Newton's method,and second, this ratio increases when the dimension n of the problem increases and tends to infinity at least at a rate ln n/ln 2 when n →∞, which implies that in theory the NewtonPCG algorithm is much more efficient for middle- and large-scale problems. These theoretical results are also supported by our preliminary numerical experiments. | DENG Naiyang, ZHANG Jianzhong & ZHONG Ping China Agricultural University, Beijing 100083, China City University of Hong Kong, Hong Kong, China | 2005 | Science China Mathematics2005，48，8： | 4 |
| 7 | Energy efficient downlink MIMO transmission with linear precoding显示文摘Energy efficiency (EE) is becoming increasingly important for wireless cellular networks. This paper addresses EE optimization problems in downlink multiuser MIMO systems with linear precoding. Referring to different active transmit/receive antenna sets and transmission schemes as different modes, we propose a joint bandwidth/power optimization and mode switching scheme to maximize EE. With a specific mode, we prove that the optimal bandwidth and transmit power is either full transmit power or full bandwidth. After deriving the optimal bandwidth and transmit power, we further propose mode switching to select the mode with optimal EE. Since the optimal mode switching, i.e. exhaustive search, is too complex to implement, an alternative heuristic method is developed to decrease the complexity through reducing the search size and avoiding the EE calculation during each search. Through simulations, we demonstrate that the proposed methods can significantly improve EE and the performance is similar to the optimal exhaustive search. | XU Jie LI ShiChao QIU Ling SLIMANE Ben S. YU ChengWen | 2013 | Science China(Information Sciences)2013，56，2： | 4 |
| 8 | Discovery of transition rules for geographical cellular automata by using ant colony optimization显示文摘A new intelligent algorithm of geographical cellular automata (CA) based on ant colony optimization (ACO) is proposed in this paper. CA is capable of simulating the evolution of complex geographical phenomena, and the core of CA models is how to define transition rules. However, most of the transition rules are defined by mathematical equations, and are hence not explicit. When the study area is complicated, it is much more difficult to extract parameters for geographical CA. As a result, ACO is applied to geographical CA to automatically and intelligently obtain transition rules in this paper. The transition rules extracted by ACO are defined as logical expressions rather than implicit mathematical equations to describe the complex relationships of the nature, and easy for people to understand. The ACO-CA model was applied to simulating rural-urban land conversions in Guangzhou City, China, and appropriate simulation results were generated. Compared with See5.0 decision tree model, ACO-CA is more suitable to discovering transition rules for geographical CA. | Anthony Gar-On YEH | 2007 | Science China Earth Sciences2007，50，10： | 4 |
| 9 | Multi-objective optimization design of airfoil and wing显示文摘To extend available monoobjective optimization methods to multiobjective and multidisciplinary optimization, the construction of a suitable resultant objective function(in deterministic method-DM) or a fitness function(in genetic algorithm-GA) is important. An objective function combination method (OFCM) of constructing such a function for constrained optimization problems is suggested. How to use both deterministic and genetic algorithms to biobjective and bidisciplinary optimal design of high performance airfoils and wings is discussed. Numerical results in both 2D (airfoil) and 3D (wing) cases show that the present method can be used to optimaize different kinds of initial airfoils and wings. The performance of optimized shape is improved significantly. The method is successful and effective. | ZHU Ziqiang FU Hongyan YU Rixin LIU Jie | 2004 | Science China(Technological Sciences)2004，47，1： | 4 |
| 10 | A class of globally convergent conjugate gradient methods显示文摘Conjugate gradient methods are very important ones for solving nonlinear optimization problems,especially for large scale problems. However, unlike quasi-Newton methods, conjugate gradient methods wereusually analyzed individually. In this paper, we propose a class of conjugate gradient methods, which can beregarded as some kind of convex combination of the Fletcher-Reeves method and the method proposed byDai et al. To analyze this class of methods, we introduce some unified tools that concern a general methodwith the scalarβk having the form of φk/φk-1. Consequently, the class of conjugate gradient methods canuniformly be analyzed. | 戴彧虹 袁亚湘 | 2003 | Science China Mathematics2003，46，2： | 4 |
| 11 | AGENT based structural static and dynamic collaborative optimization显示文摘A static and dynamic collaborative optimization mode for complex machine system and itsontology project relationship are put forward, on which an agent-based structural static and dynamiccollaborative optimization system is constructed as two agent colonies: optimization agent colony andfinite element analysis colony. And a two-level solving strategy as well as the necessity and possibilityfor handing with finite element analysis model in multi-level mode is discussed. Furthermore, the coop-eration of all FEA agents for optimal design of complicated structural is studied in detail. Structural stat-ic and dynamic collaborative optimization of hydraulic excavator working equimpent is taken as an ex-ample to show that the system is reliable. | 冯培恩 钱仲焱 潘双夏 武建伟 邱清盈 | 2001 | Science China(Technological Sciences)2001，44，5： | 3 |
| 12 | Resource management in radio access and IP-based core networks for IMT Advanced and Beyond显示文摘The increased capacity needs, primarily driven by content distribution, and the vision of Internet-of-Things with billions of connected devices pose radically new demands on future wireless and mobile systems. In general the increased diversity and scale result in complex resource management and optimization problems in both radio access networks and the wired core network infrastructure. We summarize results in this area from a collaborative Sino-Swedish project within IMT Advanced and Beyond, covering adaptive radio resource management, energy-aware routing, OpenFlow-based network virtualization, data center networking, and access network caching for TV on demand. | SU Gang HIDELL Markus ABRAHAMSSON Henrik AHLGREN Bengt LI Dan SJDIN Peter TANYINGYONG Voravit XU Ke | 2013 | Science China(Information Sciences)2013，56，2： | 2 |
| 13 | Optimization of thermomechanical processes in Cu-Cr-Zr lead frame alloy using neural networks and genetic algorithms显示文摘The thermomechanical treatment process is effective in enhancing the properties of the lead frame copper alloy. In this study, an optimal pattern of the thermomechanical processes for Cu-Cr-Zr was investegated using an intelligent control technique consisting of neural networks and genetic algorithms. The input parameters of the artificial neural network (ANN) are the reduction ratio of cold rolling, aging temperature and aging time. The outputs of the ANN model are the two most important properties of hardness and conductivity. Based on the successfully trained ANN model, genetic algorithms (GA) are used to optimize the input parameters of the model and select perfect combinations of thermomechanical processing parameters and properties. The good generalization performance and optimized results of the integrated model are achieved. | SU Juanhua1,2, LIU Ping2, DONG Qiming2 & LI Hejun1 1. College of Materials Science and Engineering, Northwestern Polytechnical University, Xi’an 710072, China 2. College of Materials Science and Engineering, Henan University of Science and Technology, Luoyang 471003, China | 2005 | Science China(Technological Sciences)2005，48，5： | 2 |
| 14 | Optimization of Additively Decomposed Function with Constraints显示文摘We propose a modified evolutionary computation method to solve the optimization problem of additively decom-posed function with constraints. It is based on factorized distribution instead of penalty function and any transformation toa linear model or others. The feasibility and convergence of the new algorithm are given. The numerical results show thatthe new algorithm gives a satisfactory performance. | Ren Qingsheng, Zeng Jin & Qi Feihu(Dept. of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200030, P. R. China Dept. of Applied Mathematics, Shanghai Jiaotong University, Shanghai 200030, P. R. China) | 2002 | Journal of Systems Engineering and Electronics2002，13，4： | 2 |
| 15 | Average optimization of the approximate solution of operator equations and its application显示文摘In this paper, a definition of the optimization of operator equations in the average case setting is given. And the general result (Theorem 1) about the relevant optimization problem is obtained. This result is applied to the optimization of approximate solution of some classes of integral equations. | 王兴华 马万 | 2002 | Science China Mathematics2002，45，8： | 1 |
| 16 | A modified three–term conjugate gradient method with sufficient descent property显示文摘A hybridization of the three–term conjugate gradient method proposed by Zhang et al. and the nonlinear conjugate gradient method proposed by Polak and Ribi`ere, and Polyak is suggested. Based on an eigenvalue analysis, it is shown that search directions of the proposed method satisfy the sufficient descent condition, independent of the line search and the objective function convexity. Global convergence of the method is established under an Armijo–type line search condition. Numerical experiments show practical efficiency of the proposed method. | Saman Babaie–Kafaki | 2015 | Applied Mathematics(A Journal of Chinese Universities)2015，30，3： | 1 |
| 17 | Rate-distortion optimized frame dropping and scheduling for multi-user conversational and streaming video显示文摘We propose a Rate-Distortion (RD) optimized strategy for frame-dropping and scheduling of multi-user conversa- tional and streaming videos. We consider a scenario where conversational and streaming videos share the forwarding resources at a network node. Two buffers are setup on the node to temporarily store the packets for these two types of video applications. For streaming video, a big buffer is used as the associated delay constraint of the application is moderate and a very small buffer is used for conversational video to ensure that the forwarding delay of every packet is limited. A scheduler is located behind these two buffers that dynamically assigns transmission slots on the outgoing link to the two buffers. Rate-distortion side information is used to perform RD-optimized frame dropping in case of node overload. Sharing the data rate on the outgoing link between the con- versational and the streaming videos is done either based on the fullness of the two associated buffers or on the mean incoming rates of the respective videos. Simulation results showed that our proposed RD-optimized frame dropping and scheduling ap- proach provides significant improvements in performance over the popular priority-based random dropping (PRD) technique. | CHAKARESKI Jacob STEINBACH Eckehard | 2006 | Journal of Zhejiang University-Science A(Applied Physics & Engineering)2006，7，5： | 1 |
| 18 | Capability Analysis of Chaotic Mutation and Its Self-Adaption显示文摘Through studying several kinds of chaotic mappings' distributions of orbital points, we analyze the capabilityof the chaotic mutations based on these mappings. Nunerical experiments support our conclusions very well. Thecapability analysis also led to a self-adaptive mechanism of chaotic mutation. The introducing of the self-adaptivechaotic mutation can improve the performance of genetic algorithm very prominently. | YANG Li-Jiang CHEN Tian-Lun | 2002 | Communications in Theoretical Physics2002，，11： | 1 |
| 19 | Image meshing via hierarchical optimization显示文摘Vector graphic, as a kind of geometric representation of raster images, has many advantages, e.g.,definition independence and editing facility. A popular way to convert raster images into vector graphics is image meshing, the aim of which is to find a mesh to represent an image as faithfully as possible. For traditional meshing algorithms, the crux of the problem resides mainly in the high non-linearity and non-smoothness of the ob jective,which makes it difficult to find a desirable optimal solution. To ameliorate this situation, we present a hierarchical optimization algorithm solving the problem from coarser levels to finer ones, providing initialization for each level with its coarser ascent. To further simplify the problem, the original non-convex problem is converted to a linear least squares one, and thus becomes convex, which makes the problem much easier to solve. A dictionary learning framework is used to combine geometry and topology elegantly. Then an alternating scheme is employed to solve both parts. Experiments show that our algorithm runs fast and achieves better results than existing ones for most images. | Hao XIE Ruo-feng TONG | 2016 | Frontiers of Information Technology & Electronic Engineering2016，17，1： | 1 |
| 20 | Modified Filled Function to Solve NonlinearProgramming Problem显示文摘Filled function method is an approach to find the global minimum of nonlinear functions. Many Problems, such as computing,communication control, and management, in real applications naturally result in global optimization formulations in a form ofnonlinear global integer programming. This paper gives a modified filled function method to solve the nonlinear global integerprogramming problem. The properties of the proposed modified filled function are also discussed in this paper. The results ofpreliminary numerical experiments are also reported. | | 2015 | 数学计算(中英文版)2015，4，2： | 1 |
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