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Artificial bee colony algorithm with tree-seed searching for modeling multivariable systems using GRNN

机译：用GRNN搜索具有树种子的人造蜂殖民地算法，用于使用GRNN建模多变量系统

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摘要

In this paper, an artificial bee colony algorithm with tree- seed searching (tsABC) is proposed for modeling multivariable systems using GRNN. In the tsABC, the local search operator of tree-seed algorithm is added to the onlooker bee phase of ABC. The optimization results with some benchmark functions show the effectiveness of tsABC. tsABC based GRNN (tsABC-GRNN) is adopted to model the crude oil fractionation process. The simulation results show that the proposed modeling method can reflect the characteristics of the real process.

机译：本文提出了一种具有树种搜索（TSABC）的人造蜂菌落算法，用于使用GRNN建模多变量系统。在TSABC中，树 - 种子算法的本地搜索操作员被添加到ABC的onLooker BEE阶段。一些基准功能的优化结果显示了TSABC的有效性。采用TSABC基于GRNN（TSABC-GRNN）来模拟原油分馏过程。仿真结果表明，所提出的建模方法可以反映实际过程的特征。

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《Chinese Control and Decision Conference》|2019年|1 v.|共6页
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Sida Zhao; Ning Wang; Xiu Liu;
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正文语种
中图分类自动控制、自动控制系统;
关键词
Artificial bee colony algorithm; Convergence; MIMO communication; Optimization; Benchmark testing; Smoothing methods; Mathematical model;

机译：人工蜂殖民地算法;收敛;MIMO通信;优化;基准测试;平滑方法;数学模型;

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专利

1. Optimal Design of Multivariable Controller for Nonlinear Systems Using Variable Population Artificial Bee Colony Algorithm [J] . Nasr A. Elkhateeb, R. I. Badr WSEAS transactions on systems and control . 2016,第Null期

机译：基于变种群人工蜂群算法的非线性系统多变量控制器的优化设计。
2. Performance Comparison of Particle Swarm Optimization, Differential Evolution and Artificial Bee Colony Algorithms for Fuzzy Modelling of Nonlinear Systems [J] . Konar Mehmet, Bagis Aytekin Elektronika ir Elektrotechnika . 2016,第5期

机译：粒子群算法，差分进化和人工蜂群算法在非线性系统模糊建模中的性能比较
3. Enhancing Artificial Bee Colony Algorithm with Self-Adaptive Searching Strategy and Artificial Immune Network Operators for Global Optimization [J] . TingguiChen, RenbinXiao ScientificWorldJournal . 2014,第3期

机译：增强具有自适应搜索策略和人工免疫网络运营商的人工蜂殖民地算法，实现全球优化
4. Artificial bee colony algorithm with tree-seed searching for modeling multivariable systems using GRNN [C] . Sida Zhao, Ning Wang, Xiu Liu Chinese Control and Decision Conference . 2019

机译：基于GRNN的树型搜索人工蜂群算法建模多变量系统
5. Digital Filter Design Using Improved Artificial Bee Colony Algorithms [D] . Raju, Rija . 2019

机译：数字滤波器设计使用改进的人工蜂殖民地算法
6. Enhancing Artificial Bee Colony Algorithm with Self-Adaptive Searching Strategy and Artificial Immune Network Operators for Global Optimization [O] . Tinggui Chen, Renbin Xiao -1

机译：通过自适应搜索策略和人工免疫网络算子增强人工蜂群算法进行全局优化
7. Development of a hybrid system of artificial neural networks and artificial bee colony algorithm for prediction and modeling of customer choice in the market [O] . J Shahrabi, S Mottaghi Khameneh 2017

机译：开发人工神经网络混合系统及人工蜂殖民地算法，以便市场上客户选择的预测和建模

Artificial bee colony algorithm with tree-seed searching for modeling multivariable systems using GRNN

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