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A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments

Type: Journal Paper

Author : Shengxiang Yang; Changhe Li

Publisher: IEEE

Year: 2010

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An adaptive learning particle swarm optimizer for function optimization

Type: Journal Paper

Author : Changhe Li; Shengxiang Yang

Year: 2009

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A survey of swarm intelligence for dynamic optimization: Algorithms and applications

Type: Journal Paper

Author : Michalis Mavrovouniotis; Changhe Li; Shengxiang Yang

Year: 2017

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A Self-Learning Particle Swarm Optimizer for Global Optimization Problems

Type: Journal Paper

Author : Changhe Li; Shengxiang Yang; Trung Thanh Nguyen

Publisher: IEEE

Year: 2012

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Evaluation of Minimum Quantity Lubrication Grinding with Nano-particles and Recent Related Patents

Type: Journal Paper

Author : Changhe Li; Sheng Wang; Qiang Zhang; Dongzhou Jia

Year: 2013

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An improved JADE algorithm for global optimization

Type: Conference Paper

Author : Ming Yang , Zhihua Cai , Changhe Li , Jing Guan

Publisher: IEEE

Year: 2014

Experimental evaluation of the lubrication properties of the wheel/workpiece interface in MQL grinding with different nanofluids

Type: Journal Paper

Author : Yaogang Wang; Changhe Li; Yanbin Zhang; Benkai Li; Min Yang; Xianpeng Zhang; Shuming Guo; Guotao Liu

Year: 2016

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Evolutionary Computation for Dynamic Optimization Problems

Type: Ebook

Author : Shengxiang Yang; Trung Thanh Nguyen; Changhe Li (auth.); Shengxiang Yang; Xin Yao (eds.)

Publisher: Springer Berlin Heidelberg

Year: 2013

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Diversity enhanced particle swarm optimization with neighborhood search

Type: Journal Paper

Author : Hui Wang; Hui Sun; Changhe Li; Shahryar Rahnamayan; Jeng-shyang Pan

Year: 2013

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Experimental evaluation of cooling performance by friction coefficient and specific friction energy in nanofluid minimum quantity lubrication grinding with different types of vegetable oil

Type: Journal Paper

Author : Yanbin Zhang; Changhe Li; Min Yang; Dongzhou Jia; Yaogang Wang; Benkai Li; Yali Hou; Naiqing Zhang; Qidong Wu

Year: 2016

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A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments

An adaptive learning particle swarm optimizer for function optimization

A survey of swarm intelligence for dynamic optimization: Algorithms and applications

A Self-Learning Particle Swarm Optimizer for Global Optimization Problems

Evaluation of Minimum Quantity Lubrication Grinding with Nano-particles and Recent Related Patents

An improved JADE algorithm for global optimization

Experimental evaluation of the lubrication properties of the wheel/workpiece interface in MQL grinding with different nanofluids

Evolutionary Computation for Dynamic Optimization Problems

Diversity enhanced particle swarm optimization with neighborhood search

Experimental evaluation of cooling performance by friction coefficient and specific friction energy in nanofluid minimum quantity lubrication grinding with different types of vegetable oil

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A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments

An adaptive learning particle swarm optimizer for function optimization

A survey of swarm intelligence for dynamic optimization: Algorithms and applications

A Self-Learning Particle Swarm Optimizer for Global Optimization Problems

Evaluation of Minimum Quantity Lubrication Grinding with Nano-particles and Recent Related Patents

An improved JADE algorithm for global optimization

Experimental evaluation of the lubrication properties of the wheel/workpiece interface in MQL grinding with different nanofluids

Evolutionary Computation for Dynamic Optimization Problems

Diversity enhanced particle swarm optimization with neighborhood search

Experimental evaluation of cooling performance by friction coefficient and specific friction energy in nanofluid minimum quantity lubrication grinding with different types of vegetable oil