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Hybrid Group Search Optimiser with quadratic interpolation method and its application

International Journal of Wireless and Mobile Computing 2011年第1期5卷 98-106页

作者： Yao, Jian Cui, Zhihua Wei, Zhanhong Tan, Ying Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology No. 66 Waliu Road Wanbailin District Taiyuan Shanxi 030024 China

Group Search Optimiser (GSO) is a new swarm intelligence optimiser algorithm inspired by animal social behaviours. In this paper, we proposed two variants of GSO to improve its search capability, and applied them to solving non-linear equations. Producers in the GSO are like the eyes of animals, which determine the 'food' position and the movement direction of scroungers. However, due to the random sample mechanism, the computational efficiency is poor. To improve its search efficiency, a new GSO based on quadratic interpolation method (QIGSO) is proposed, in which the estimated position with quadratic interpolation theory is used to replace the random point in each iteration to increase the speed of convergence. Furthermore, the steepest gradient descent method is also incorporated into QIGSO (QIGSO-SDO) to improve the local search capability. Numerical simulation and a special problem about radar detection are used to test the proposed two variants. © 2011 Inderscience Enterprises Ltd.

关键词： Optimization

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The convergence analysis of artificial physics optimisation algorithm

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International Journal of Intelligent Information and Database systems 2011年第6期5卷 536-554页

作者： Xie, Liping Tan, Ying Zeng, Jianchao Cui, Zhihua Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology No. 66 Waliu Road Wanbailin District Taiyuan Shanxi 030024 China

Artificial physics optimisation (APO) algorithm is a novel population-based stochastic algorithm based on physicomimetics framework for multidimensional search and optimisation. APO invokes a gravitational metaphor in which the force of gravity may be attractive or repulsive, the aggregate effect of which is to move individuals toward local and global optima. A proof of convergence is presented that reveals the conditions under which APO is guaranteed to converge. These convergence conditions indicate that some individuals have convergence behaviours whereas other individuals have divergent behaviours in APO system. According to the character, it can be proved that APO algorithm converge to the vicinity of global optimum with probability one based on the related knowledge of probability theory, which is proposed in brief. By regarding each individual's position on each evolutionary step as a stochastic vector, APO algorithm determined by non-negative real parameter tuple {mi, w, G} is analysed using discrete-time linear system theory. The convergent condition of APO algorithm and corresponding parameter selection guidelines are derived. The simulation results show that the convergent condition is effective in guiding the parameter selection of APO algorithm and can help to explain why those parameters work well. Copyright © 2011 Inderscience Enterprises Ltd.

关键词： Global optimization

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Effects of nonlinear gradient index on radiative heat transfer in a one-dimensional medium by the DRESOR method

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Journal of Physics: Conference Series 2012年第1期369卷

作者： Z C Wang Q Cheng G H Wang Z F Huang H C Zhou State Key Laboratory of Coal Combustion Huazhong University of Science and Technology Wuhan 430074 Hubei People's Republic of China State Key Laboratory of Control & Simulation of Power System & Generation Equipment Department of Thermal Engineering Tsinghua University Beijing 10084 P. R. China To whom any correspondence should be addressed

The DRESOR (Distribution of Ratios of Energy Scattered by the medium Or Reflected by the boundary surface) method is applied for radiative heat transfer in a one-dimensional medium with a nonlinear gradient index and gray boundary surfaces. In this proposed method, the DRESOR values calculated by the Monte Carlo method express quantitatively the impact of scattering on radiative transfer and the radiative intensity with high directional resolution of high precision can be easily obtained. With given media characteristics and boundary conditions, the temperature and radiative flux distributions inside the medium are calculated under the condition of radiative equilibrium. It is shown, in the cases studied, that the DRESOR method has a good accuracy. The temperature distributions have a node with different kinds of sine changed gradient index distributions under the same boundary emissivity. The impact of the gradient index on the radiative heat transfer is considerable, and the same as that of the ratios of its amplitude and average index. Besides, the effects of optical thickness, boundary emissivity and scattering phase function on radiative transfer also should be paid adequate attention.

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An underground Mobile Wireless Sensor Network routing protocol for coal mine environment

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Journal of Computational Information systems 2011年第7期7卷 2487-2495页

作者： Qiao, Gangzhu Zeng, Jianchao College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou 730050 China Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan 030024 China

The routing protocol which can meet the requirement of underground wireless sensor network plays a decisive role in improving the monitoring quality and the survival time of network. As the different energy supplement method of Beacon nodes and Mobile nodes in the underground Mobile Wireless Sensor Networks (UMWSN), The UMWSN is the energy level unbalanced network, which determines that the task of the data forwarding should be completed by the mobile node as far as possible. Furthermore due to the movement of the mobile node which lead to the topology of the UWSN frequently change, the traditional Beacon-based data forward method can not meet the data routing requirement of UWSN. Based on the analysis on the deployment of UMWSN and the movement characteristic of the mobile node, a Mobile Node Based Route (MNBR) protocol is proposed, which can help the node build up the routing path quickly with the adjacent node's motion information. The protocol can lower the energy consumption of the beacon node obviously by reduce the beacon node' involvement in the data forwarding. simulation results show that the MBUR protocol can ensure a balanced use of node energy and prolong the life cycle of the network, and has the obviously advantages in the coal mine environment than the Beacon-based data forward method. Copyright © 2011 Binary Information Press.

关键词： Routing protocols

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Using hybrid social emotional optimization algorithm with Metropolis rule to solve nonlinear equations

Using hybrid social emotional optimization algorithm with Me...

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IEEE International Conference on Cognitive Informatics

作者： Jianna Wu Zhihua Cui Jing Liu Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Shanxi China State Key Laboratory for Novel Software Technology Nanjing University Jiangsu China

Social emotional optimization algorithm (SEOA) is a novel swarm intelligent population-based optimization algorithm by simulating the human social behaviors. How- ever, as a stochastic optimization algorithm, it is easily trapped into local optima. In this paper, we propose a new hybrid algorithm combining with Metropolis rule to enhance the escaping capability from local optima. Further- more, the nonlinear equation solving problems are used to test, and compared with the standard version. simulation results show it is effective.

关键词： Optimization Indexes Nonlinear equations Humans Mathematical model Software algorithms

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Anti-control of Hopf bifurcation for eco-epidemiological model with delay

Anti-control of Hopf bifurcation for eco-epidemiological mod...

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2011 International Conference on Control, Automation and systems Engineering(CASE)

作者： Changjin Xu Qianhong Zhang Peiluan Li Guizhou Key Laboratory of Economics System Simulation School of Mathematics and Statistics Guizhou College of Finance and Economics Guizhou Key Laboratory of Economics System Simulation School of Mathematics and StatisticsGuizhou College of Finance and Economics Department of Mathmatics and Statistics Henan University of Science and Technology

In this paper,The linear stability of the equilibrium of an eco-epidemiological model with delay is ***-control of Hopf bifurcation for the model is *** simulations are presented to confirm that the new feedback contr... 详细信息

关键词： eco-epidemiological model time delay stability Hopf bifurcation control

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Differential evolution with adaptive population size combining lifetime and extinction mechanisms

Differential evolution with adaptive population size combini...

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作者： Zhang, Chunmei Chen, Jie Xin, Bin Cai, Tao Chen, Chen School of Automation Beijing Institute of Technology Beijing China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing China School of Electronic Information Engineering Taiyuan University of Science and Technology Shanxi China Department of Automation Tsinghua University Beijing China

ISBN: (纸本)9788995605646

Differential Evolution (DE) is a simple and efficient numerical optimization method. Most DE variants in the literature adopt fixed population size. This paper incorporates into DE the mechanisms of lifetime and extinction which regulate DE's population size in an adaptive manner. The population size is adjusted according to the online progress of fitness improvement. Two schemes of inserting new individuals are proposed to match different mechanisms respectively. The performance of these innovations is examined through the optimization of benchmark problems. The results show that the proposed adaptive population sizing strategy is efficient for improving the convergence and efficiency of the DE. © 2011 Asian Control Association.

关键词： Optimization

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Anti-control of Hopf bifurcation for eco-epidemiological model with delay

Anti-control of Hopf bifurcation for eco-epidemiological mod...

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2011 2nd Asia-Pacific Conference on Wearable Computing systems

作者： Changjin Xu Qianhong Zhang Peiluan Li Guizhou Key Laboratory of Economics System Simulation School of Mathematics and Statistics Guizhou College of Finance and Economics Guizhou Key Laboratory of Economics System Simulation School of Mathematics and StatisticsGuizhou College of Finance and Econom- ics Department of Mathmatics and Statistics Henan University of Science and Technology

In this paper, The linear stability of the equilibrium of an eco-epidemiological model with delay is investigated. Anti-control of Hopf bifurcation for the model is presented. Numerical simulations are presented to co... 详细信息

关键词： eco-epidemiological model time delay stability Hopf bifurcation control.

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A hybrid social emotional optimization algorithm with Metropolis rule

A hybrid social emotional optimization algorithm with Metrop...

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International Conference on Modelling, Identification and Control (ICMIC)

作者： Jianna Wu Zhihua Cui Jing Liu Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan Shanxi China Department of Computer Taiyuan Shanxi China

Social emotional optimization algorithm (SEOA) is a novel swarm intelligent population-based optimization algorithm by simulating the human social behaviors. However, it's diversity is decreased increased when solving high-dimensional multi-modal optimization problems. Therefore, in this paper, a new hybrid SEOA with Metropolis rule is introduced to enhance the exploration capability. To test the performance, five famous benchmarks are selected, and compared with the standard version with different dimensions. simulation results show this hybrid algorithm can increase the global search capability significantly.

关键词： Optimization Cultural differences Indexes Humans Solids Decision making Benchmark testing

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A review of autonomous robotic search

A review of autonomous robotic search

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International Conference on Electrical and Control Engineering (ICECE)

作者： Songdong Xue Jianchao Zeng Guoyou Zhang Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan China College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou China

The application-driven researches on autonomous robotic search having been paid continuous attentions for years, since robot(s) be capable of searching for target(s) taking the place of human beings in dangerous environment for secondary disaster avoidance. Thus the state of the art of this field was surveyed from the viewpoint of robotics, distributed sensor networks and intelligent control. First, a classification was proposed according to a metric of relative number relationship between robots and targets. Then the literature dealing with three modes, i.e., single-robot-single-target, multiple(swarm)-robot-single-target, and multiple(swarm)-robot multiple-target was taken for review. Accordingly, the natural scientific issues concerned with each mode, control techniques, as well as typical applications were summarized respectively. Also, the technical characteristics of the existing approaches were comparatively analyzed for disaster search-and-rescue application. Finally, swarm intelligence-based cooperative control method for autonomous robotic search was examined significantly on demand of distributed artificial intelligent decision making technique, in order to give more exposure to the latest ideas around fields of wireless sensor network and intelligent robotics for promoting the level of disaster prevention and reduction with robotic technology.

关键词： Robot kinematics Robot sensing systems Educational institutions Mobile robots Particle swarm optimization Computer science

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