基于混合插值蚁群优化和Nelder-Mead算法的时滞辨识

Janusz P. Papliński
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引用次数: 2

摘要

本文提出了将全局插值蚁群优化算法与局部定向导数单纯形算法(IACO-DDS)的混合算法应用于线性对象时滞辨识的可能性。插值蚁群优化算法(IACO)可用于求解连续问题。导数单纯形属于一类改进的Nelder Mead算法。将IACO- dds算法与简单IACO算法在单峰和多峰搜索空间的速度和效率进行了比较。对16种随机参数的植物进行调查,将其分为简单和难识别两组。
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Time delays identification by means of a hybrid interpolated ant colony optimization and Nelder-Mead algorithm
The paper presents a possibility of application a hybrid algorithm compound of a global algorithm Interpolated Ant Colony Optimization and local Directional Derivatives Simplex (IACO-DDS) to identification of the time delays in the linear plant. The Interpolated Ant Colony Optimization algorithm (IACO) can be used to continuous problems. The Derivatives Simplex belongs to the class of a modified Nelder Mead Algorithm. The IACO-DDS algorithm is compared with the simple IACO in terms of their speed and efficiency for unimodal and multimodal search space. The investigation was made for the sixteen plants with random parameters, divide into two group: the simple and difficult to identification plants.
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