A hybrid particle swarm optimization algorithm based on space transformation search and a modified velocity model

Yu S.; Wu Z.; Wang H.; Chen Z.; Zhong H.

首页> 外文期刊>International journal of numerical analysis and modeling >A hybrid particle swarm optimization algorithm based on space transformation search and a modified velocity model

【24h】

A hybrid particle swarm optimization algorithm based on space transformation search and a modified velocity model

机译：基于空间变换搜索和改进速度模型的混合粒子群优化算法

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Particle Swarm Optimization (PSO) has shown its fast search speed in many complicated optimization and search problems. However, PSO often easily falls into local optima because the particles would quickly get closer to the best particle. Under these circumstances, the best particle could hardly be improved. This paper proposes a new hybrid PSO (HPSO) to solve this problem by combining space transformation search (STS) with a new modified velocity model. Experimental studies on 8 benchmark functions demonstrate that the HPSO holds good performance in solving both unimodal and multimodal functions optimization problems.

机译：粒子群优化（PSO）在许多复杂的优化和搜索问题中都显示出快速的搜索速度。但是，PSO通常很容易陷入局部最佳状态，因为粒子会很快接近最佳粒子。在这种情况下，最好的颗粒几乎无法改善。为了解决这个问题，本文提出了一种新的混合PSO（HPSO），它将空间变换搜索（STS）与新的改进的速度模型相结合。对8个基准函数的实验研究表明，HPSO在解决单峰和多峰函数优化问题方面均具有良好的性能。

著录项

来源
《International journal of numerical analysis and modeling》 |2012年第2期|共7页
作者
Yu S.; Wu Z.; Wang H.; Chen Z.; Zhong H.;
展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类运筹学;
关键词
Evolutionary algorithm; Optimization; Particle swarm optimization (PSO); Space transformation search (STS);

机译：进化算法;优化;粒子群优化（PSO）;空间变换搜索（STS）;

相似文献

外文文献
中文文献
专利

1. A hybrid particle swarm optimization algorithm based on space transformation search and a modified velocity model [J] . Yu S., Wu Z., Wang H., International journal of numerical analysis and modeling . 2012,第2期

机译：基于空间变换搜索和改进速度模型的混合粒子群优化算法
2. A Multi Time Scale Wind Power Forecasting Model of a Chaotic Echo State Network Based on a Hybrid Algorithm of Particle Swarm Optimization and Tabu Search [J] . Dongxiao Niu, Guido Carpinelli, Han Wu, Energies . 2015,第11期

机译：基于粒子群优化和禁忌搜索混合算法的混沌回波状态网络多尺度风电功率预测模型
3. An efficient hybrid clustering method based on improved cuckoo optimization and modified particle swarm optimization algorithms [J] . Bouyer Asgarali, Hatamlou Abdolreza Applied Soft Computing . 2018,第期

机译：一种基于改进的Cuckoo优化和修改粒子群优化算法的一种有效的混合聚类方法
4. A Hybrid Particle Swarm Optimization Algorithm Based on Space Transformation Search and a Modified Velocity Model [C] . Song Yu, Zhijian Wu, Hui Wang, International Conference on High Performance Computing and Applications . 2010

机译：一种基于空间变换搜索的混合粒子群优化算法和修改速度模型
5. Explorations in swarm algorithms: Hybrid particle swarm optimization and adaptive culture model algorithms. [D] . Noel, Mathew M. 2005

机译：群算法的探索：混合粒子群优化和自适应文化模型算法。
6. Feed-Forward Neural Network Soft-Sensor Modeling of Flotation Process Based on Particle Swarm Optimization and Gravitational Search Algorithm [O] . Jie-Sheng Wang, Shuang Han 2015

机译：基于粒子群优化和引力搜索算法的浮选过程前馈神经网络软传感器建模
7. A Multi Time Scale Wind Power Forecasting Model of a Chaotic Echo State Network Based on a Hybrid Algorithm of Particle Swarm Optimization and Tabu Search [O] . Xiaomin Xu, Dongxiao Niu, Ming Fu, 2015

机译：基于粒子群优化与禁忌搜索混合算法的混沌回波状态网多时间尺度风电功率预测模型

A hybrid particle swarm optimization algorithm based on space transformation search and a modified velocity model

摘要

著录项

相似文献

相关主题

期刊订阅