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Chaos-enhanced Cuckoo search optimization algorithms for global optimization

机译：用于全局优化的混沌增强的Cuckoo搜索优化算法

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摘要

Cuckoo search optimization algorithm is a biologically inspired optimization algorithm, which is widely used to solve many optimization problems. However, it has been empirically demonstrated to easily get trapped into local optimal solutions and cause low precision. Therefore, in this work, we propose five modified Chaos-enhanced Cuckoo search (CCS) optimization algorithms, in which chaotic sequences are utilized to enhance initialized host nest location, change step size of Levy flight and reset the location of host nest beyond the boundary. These five CCS algorithms are denoted by CCS1 (with Logistic map), CCS2 (with tent map), CCS3 (with Gauss map), CCS4 (with Sinusoidal iterator) and CCS5 (with Circle map) respectively. We test our algorithms in two function groups, denoted by Group A and Group B, respectively. In Group A, which consists of four Unimodal and five simple Multimodal functions, we compare the performance of five CCS algorithms and the standard CS. The numerical results show that the novel algorithm enhances the performance of the basic Cuckoo search optimization algorithm, and CCS3 achieves the best performance. In Group B, which is derived from CEC2013 test problems, we test three optimization algorithms (CCS3, CLPSO and TCPSO). The numerical results show that the CCS3 algorithm has better performance than others.
机译：布谷鸟搜索优化算法是一种生物学启发的优化算法，被广泛用于解决许多优化问题。但是，已通过经验证明它很容易陷入局部最优解中并导致精度低下。因此，在这项工作中，我们提出了五种改进的混沌增强的布谷鸟搜索（CCS）优化算法，其中利用混沌序列来增强初始化的宿主巢的位置，更改Levy Flight的步长并重置宿主巢的位置超出边界。这五种CCS算法分别由CCS1（带Logistic映射），CCS2（带帐篷映射），CCS3（带高斯映射），CCS4（带正弦迭代器）和CCS5（带圆形映射）表示。我们在两个功能组（分别由组A和组B表示）中测试算法。在由四个单峰函数和五个简单的多峰函数组成的A组中，我们比较了五个CCS算法和标准CS的性能。数值结果表明，该新算法增强了基本的布谷鸟搜索优化算法的性能，而CCS3达到了最佳性能。在来自CEC2013测试问题的B组中，我们测试了三种优化算法（CCS3，CLPSO和TCPSO）。数值结果表明，CCS3算法具有更好的性能。

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  • 来源
    《Applied Mathematical Modelling》 |2016年第6期|3860-3875|共16页
  • 作者

    Li Huang; Shuai Ding; Shouhao Yu; Juan Wang; Ke Lu;

  • 作者单位

    School of Management, Hefei University of Technology, Hefei, Anhui 230009, PR China,School of Management Science and Engineering, Anhui University of Technology, Maanshan, Anhui 243000, PR China;

    School of Management, Hefei University of Technology, Hefei, Anhui 230009, PR China,Key Laboratory of Process Optimization and Intelligent Decision-Making, Ministry of Education, Hefei, Anhui 230009, PR China;

    School of Management, Hefei University of Technology, Hefei, Anhui 230009, PR China,School of Information Engineering, University of West Anhui University, Luan, Anhui 237012, PR China;

    School of Electrical and Electronic Tianjin University of Technology, Tianjin 300384, PR China;

    School of Management Science and Engineering, Anhui University of Technology, Maanshan, Anhui 243000, PR China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Chaotic maps; Cuckoo search; Optimization algorithm; Bound Handling Mechanism; Levy flight;

    机译：混沌地图杜鹃搜索;优化算法;绑定处理机制;征费飞行;

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