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首页> 外文期刊>Mathematical Problems in Engineering >Novel Particle Swarm Optimization and Its Application in Calibrating the Underwater Transponder Coordinates
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Novel Particle Swarm Optimization and Its Application in Calibrating the Underwater Transponder Coordinates

机译：新型粒子群算法及其在水下应答器坐标标定中的应用

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摘要

A novel improved particle swarm algorithm named competition particle swarm optimization (CPSO) is proposed to calibrate the Underwater Transponder coordinates. To improve the performance of the algorithm, TVAC algorithm is introduced into CPSO to present an extension competition particle swarm optimization (ECPSO). The proposed method is tested with a set of 10 standard optimization benchmark problems and the results are compared with those obtained through existing PSO algorithms, basicparticle swarm optimization (BPSO), linear decreasing inertia weight particle swarm optimization (LWPSO), exponential inertia weight particle swarm optimization (EPSO), and time-varying acceleration coefficient (TVAC). The results demonstrate that CPSO and ECPSO manifest faster searching speed, accuracy, and stability. The searching performance for multimodulus function of ECPSO is superior to CPSO. At last, calibration of the underwater transponder coordinates is present using particle swarm algorithm, and novel improved particle swarm algorithm shows better performance than other algorithms.
机译：提出了一种新的改进的粒子群算法，称为竞争粒子群算法（CPSO），用于标定水下应答器坐标。为了提高算法的性能，将TVAC算法引入CPSO中，提出了扩展竞争粒子群算法（ECPSO）。将该方法与一组10个标准优化基准问题进行了测试，并将结果与​​通过现有PSO算法，基本粒子群优化（BPSO），线性递减惯性权重粒子群优化（LWPSO），指数惯性权重粒子群获得的结果进行比较优化（EPSO）和时变加速度系数（TVAC）。结果表明，CPSO和ECPSO具有更快的搜索速度，准确性和稳定性。 ECPSO的多模函数搜索性能优于CPSO。最后，利用粒子群算法对水下转发器坐标进行了标定，新颖的改进粒子群算法具有比其他算法更好的性能。

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  • 来源
    《Mathematical Problems in Engineering》 |2014年第8期|672412.1-672412.12|共12页
  • 作者

    Zheping Yan; Chao Deng; Benyin Li; Jiajia Zhou;

  • 作者单位

    College of Automation, Harbin Engineering University, Harbin 150001, China;

    College of Automation, Harbin Engineering University, Harbin 150001, China;

    College of Automation, Harbin Engineering University, Harbin 150001, China;

    College of Automation, Harbin Engineering University, Harbin 150001, China;

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