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

نوع: Journal Paper

نویسنده : Shengxiang Yang; Changhe Li

ناشر: IEEE

سال: 2010

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An adaptive learning particle swarm optimizer for function optimization

نوع: Journal Paper

نویسنده : Changhe Li; Shengxiang Yang

سال: 2009

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

نوع: Journal Paper

نویسنده : Michalis Mavrovouniotis; Changhe Li; Shengxiang Yang

سال: 2017

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A Self-Learning Particle Swarm Optimizer for Global Optimization Problems

نوع: Journal Paper

نویسنده : Changhe Li; Shengxiang Yang; Trung Thanh Nguyen

ناشر: IEEE

سال: 2012

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

نوع: Journal Paper

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

سال: 2013

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An improved JADE algorithm for global optimization

نوع: Conference Paper

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

ناشر: IEEE

سال: 2014

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

نوع: Journal Paper

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

سال: 2016

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Evolutionary Computation for Dynamic Optimization Problems

نوع: Ebook

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

ناشر: Springer Berlin Heidelberg

سال: 2013

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Diversity enhanced particle swarm optimization with neighborhood search

نوع: Journal Paper

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

سال: 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

نوع: Journal Paper

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

سال: 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