作者：
Ling, Ai-fanJiangxi Univ Finance & Econ
Sch Finance Res Ctr Secur & Future Nanchang 330013 Peoples R China Chinese Acad Sci
Key Lab Management Decis & Informat Syst Acad Math & Syst Sci Beijing 100190 Peoples R China
A heuristic algorithm based on VNS is proposed to solve the Max 3-cut and Max 3-section problems. By establishing a neighborhood structure of the Max 3-cut problem, we propose a local search algorithm and a variable n...
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A heuristic algorithm based on VNS is proposed to solve the Max 3-cut and Max 3-section problems. By establishing a neighborhood structure of the Max 3-cut problem, we propose a local search algorithm and a variable neighborhood global search algorithm with two stochastic search steps to obtain the global solution. We give some numerical results and comparisons with the well-known 0.836-approximate algorithm. Numerical results show that the proposed heuristic algorithm can obtain efficiently the high-quality solutions and has the better numerical performance than the 0.836-approximate algorithm for the NP-Hard Max 3-cut and Max 3-section problems.
This paper presents an algorithm for the real time rendering of fur without adding fur-specific geometry, such as shells, to the object. It is based on Cone Step Mapping and introduces a local distortion of the view v...
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This paper presents an algorithm for the real time rendering of fur without adding fur-specific geometry, such as shells, to the object. It is based on Cone Step Mapping and introduces a local distortion of the view vector to simulate a deformation of the heightfield-bound hair geometry. While this distortion enables a more realistic fur rendering, some limitations emerge and have to be dealt with. A local light reflectance model including approximations of global light interactions with hair and skin is proposed. We furthermore show how material and geometric properties can locally be influenced through standard texture mapping. This includes most notably the local modification of growth and streak direction of the hairs.
Minimization of the overall resource (e.g., water, hydrogen, material, etc.) requirement and the minimum interplant flow rate to achieve the overall minimum resource requirement across two resource allocation networks...
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Minimization of the overall resource (e.g., water, hydrogen, material, etc.) requirement and the minimum interplant flow rate to achieve the overall minimum resource requirement across two resource allocation networks (RANs) have been presented in this paper. The resource requirement for a single RAN can be minimized through established mathematical and/or pinch-based methodologies. The overall resource requirement can further be minimized by integrating RANs at the site level. While integrating two RANs at the site level, for the reduction of overall resource requirement, it is also important to minimize the interplant flow rate across them. Mathematically these minimization problems can be modeled as linear programming problems. However, on the basis of the special mathematical features of this problem, an algorithmic procedure as well as a graphical procedure are developed to target the minimum overall resource requirement by integrating two RANs and also to minimize the interplant flow rate, satisfying the previous target. The applicability of the proposed methodology is limited to two RANs with single quality.
This paper presents an effective weighted least square formulation for the solution of the state estimation problem, considering conventional as well as synchronized phasor measurements. The proposed algorithm is base...
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This paper presents an effective weighted least square formulation for the solution of the state estimation problem, considering conventional as well as synchronized phasor measurements. The proposed algorithm is based on a reference-free formulation, using both rectangular and polar coordinates for branch current phasor measurements, and alleviates any numerical problems encountered during initialization stage of the state estimation algorithm. Analytical equations are provided for the conventional and the phasor measurements and their corresponding partial derivatives with respect to state variables. The proposed algorithm is tested with a seven bus system and is compared with the traditional state estimator. Simulation results show that the proposed algorithm improves the precision greatly and gets better behavior as compared with the traditional state estimator. (C) 2011 Elsevier Ltd. All rights reserved.
In this paper we consider implementation algorithms and applications of the discretization method for diffusion equations on polygonal (2D) and polyhedral (3D) meshes recently proposed by one of the authors in [11]. T...
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In this paper we consider implementation algorithms and applications of the discretization method for diffusion equations on polygonal (2D) and polyhedral (3D) meshes recently proposed by one of the authors in [11]. The discretization method is based on the approximation of fluxes in the mixed finite element method by appropriate piecewise constant vector functions inside the mesh cells. The new piecewise constant fluxes are discontinuous inside the mesh cells but their normal components are continuous on the interfaces between neighbouring cells. Numerical results are given for test problems relevant to applications in reservoir simulation and basin modelling.
Mathematical models and numerical algorithms of substance transport over a closed graph of a cardiovascular system must, satisfy the property of conservativity. A conservative model and a numerical algorithm for calcu...
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Mathematical models and numerical algorithms of substance transport over a closed graph of a cardiovascular system must, satisfy the property of conservativity. A conservative model and a numerical algorithm for calculation of substance transport through a working heart are proposed in the paper. The efficiency of the algorithm considered here is confirmed by test calculations. A method for simulation of substance transport in tissues surrounding vessels is also proposed.
A universal computer algorithm and computer program is developed that implements a direct version of the method of characteristics for solving systems of quasilinear first-order partial differential equations in two i...
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A universal computer algorithm and computer program is developed that implements a direct version of the method of characteristics for solving systems of quasilinear first-order partial differential equations in two independent variables. The algorithm is used to calculate the lattice of slip lines and the velocity vector field in problems of the limiting equilibrium of ideally plastic and friable media. Results of the numerical solution of an ideal plasticity problem for a plane with an aperture loaded with an internal pressure, of the plane problem of the limiting equilibrium of a friable medium and of the axisymmetric problem of a rotating punch on the surface of a plastic half-space are presented to demonstrate the efficiency of the method. (c) 2012 Published by Elsevier Ltd.
In this study, a simple digital power control technique for single-phase grid-tie converters is proposed. The suggested technique is based on the application of dead-beat control theory to the instantaneous powers in ...
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In this study, a simple digital power control technique for single-phase grid-tie converters is proposed. The suggested technique is based on the application of dead-beat control theory to the instantaneous powers in the virtual two-axis reference frame. A voltage estimation scheme is added to the proposed direct power control algorithm that allows grid voltage sensorless operation. The simulation and experimental results confirm that the proposed control strategy provides fast, accurate and decoupled power control with a lower alternating current distortion.
Cognitive radios (CRs), which are capable of sensing its surrounding environment and adapting its internal parameters, have been considered in mobile ad hoc networks (MANETs). The area of security in CR-MANETs has rec...
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Cognitive radios (CRs), which are capable of sensing its surrounding environment and adapting its internal parameters, have been considered in mobile ad hoc networks (MANETs). The area of security in CR-MANETs has received far less attention than other areas. However, some distinct characteristics of CRs introduce new non-trivial security risks to CR-MANETs. In this article, the authors study spectrum sensing data falsification (SSDF) attacks to CR-MANETs, in which intruders send false local spectrum sensing results in cooperative spectrum sensing, and it will result in wrong spectrum sensing decisions by CRs. The authors present a novel bio-inspired consensus-based cooperative spectrum sensing scheme to counter SSDF attacks in CR-ANETs. Their scheme is based on recent advances in consensus algorithms that have taken inspiration from self-organising behaviour of animal groups such as birds, fish, ants, honeybees and others. Unlike the existing schemes, there is no need for a common receiver to do the data fusion for reaching the final decision to counter SSDF attacks. The scheme has self-configuration and self-maintenance capabilities. Moreover, in order to further improve the security of CR-MANETs, the authors present an authentication scheme using identity (ID)-based cryptography with threshold secret sharing. Simulation results are presented to show the effectiveness of the proposed schemes.
This paper presents a modified barebones particle swarm optimization (OBPSO) to solve constrained nonlinear optimization problems. The proposed approach OBPSO combines barebones particle swarm optimization (BPSO) and ...
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This paper presents a modified barebones particle swarm optimization (OBPSO) to solve constrained nonlinear optimization problems. The proposed approach OBPSO combines barebones particle swarm optimization (BPSO) and opposition-based learning (OBL) to improve the quality of solutions. A novel boundary search strategy is used to approach the boundary between the feasible and infeasible search region. Moreover, an adaptive penalty method is employed to handle constraints. To verify the performance of OBPSO, a set of well-known constrained benchmark functions is used in the experiments. Simulation results show that our approach achieves a promising performance.
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