Kinetic-molecular theory optimization algorithm using opposition-based learning and varying accelerated motion

Chaodong Fan; Ningjun Zheng; Jinhua Zheng; Leyi Xiao; Yingnan Liu

doi:10.1007/s00500-020-05057-6

Kinetic-molecular theory optimization algorithm using opposition-based learning and varying accelerated motion

Soft Computing ◽

10.1007/s00500-020-05057-6 ◽

2020 ◽

Vol 24 (17) ◽

pp. 12709-12730

Author(s):

Chaodong Fan ◽

Ningjun Zheng ◽

Jinhua Zheng ◽

Leyi Xiao ◽

Yingnan Liu

Keyword(s):

Optimization Algorithm ◽

Molecular Theory ◽

Kinetic Molecular Theory ◽

Accelerated Motion ◽

Opposition Based Learning

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Optimization algorithm based on kinetic-molecular theory

Journal of Central South University ◽

10.1007/s11771-013-1875-2 ◽

2013 ◽

Vol 20 (12) ◽

pp. 3504-3512 ◽

Cited By ~ 6

Author(s):

Chao-dong Fan ◽

Hong-lin Ouyang ◽

Ying-jie Zhang ◽

Zhao-yang Ai

Keyword(s):

Optimization Algorithm ◽

Molecular Theory ◽

Kinetic Molecular Theory

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Multi-objective optimization algorithm based on kinetic-molecular theory with memory

2018 13th World Congress on Intelligent Control and Automation (WCICA) ◽

10.1109/wcica.2018.8630566 ◽

2018 ◽

Author(s):

Jie Li ◽

Chaodong Fan ◽

Lingzhi Yi ◽

Yingnan Liu ◽

Han Qi

Keyword(s):

Optimization Algorithm ◽

Molecular Theory ◽

Multi Objective Optimization ◽

Multi Objective ◽

Kinetic Molecular Theory ◽

With Memory

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Kinetic-molecular theory optimization algorithm based on Kent chaotic mapping

10.1063/1.4992952 ◽

2017 ◽

Author(s):

Huguang Gong ◽

Chaodong Fan ◽

Bo Ouyang

Keyword(s):

Optimization Algorithm ◽

Molecular Theory ◽

Kinetic Molecular Theory ◽

Chaotic Mapping

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Kinetic-Molecular Theory Optimization Algorithm Based on Crystallization Process for Optimal Reactive Power Dispatch

DEStech Transactions on Environment Energy and Earth Science ◽

10.12783/dteees/appeec2018/23534 ◽

2018 ◽

Author(s):

Chaodong Fan ◽

Han Qi ◽

Lingzhi Yi

Keyword(s):

Optimization Algorithm ◽

Crystallization Process ◽

Reactive Power ◽

Molecular Theory ◽

Kinetic Molecular Theory ◽

Optimal Reactive Power Dispatch ◽

Power Dispatch ◽

Reactive Power Dispatch

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Multi-objective kinetic-molecular theory optimization algorithm with application to automatic demand response

2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT) ◽

10.1109/drpt.2015.7432660 ◽

2015 ◽

Cited By ~ 1

Author(s):

Lingzhi Yi ◽

Shengbing Li ◽

Chaodong Fan ◽

Yahui Wang

Keyword(s):

Demand Response ◽

Optimization Algorithm ◽

Molecular Theory ◽

Multi Objective ◽

Kinetic Molecular Theory

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Modified Kinetic-Molecular Theory Optimization Algorithm for Optimal Reactive Power Dispatch*

2018 13th World Congress on Intelligent Control and Automation (WCICA) ◽

10.1109/wcica.2018.8630460 ◽

2018 ◽

Author(s):

Leyi Xiao ◽

Honglin Ouyang ◽

Biaoming Zhu ◽

Han Qi ◽

Chaodong Fan

Keyword(s):

Optimization Algorithm ◽

Reactive Power ◽

Molecular Theory ◽

Kinetic Molecular Theory ◽

Optimal Reactive Power Dispatch ◽

Power Dispatch ◽

Reactive Power Dispatch

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Enhanced grasshopper optimization algorithm using elite opposition-based learning for solving real-world engineering problems

Engineering With Computers ◽

10.1007/s00366-021-01368-w ◽

2021 ◽

Author(s):

Betül Sultan Yildiz ◽

Nantiwat Pholdee ◽

Sujin Bureerat ◽

Ali Riza Yildiz ◽

Sadiq M. Sait

Keyword(s):

Optimization Algorithm ◽

Real World ◽

Opposition Based Learning ◽

Grasshopper Optimization Algorithm ◽

Engineering Problems ◽

Grasshopper Optimization

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Review for "Improving Harris hawks optimization algorithm for hyperparameters estimation and feature selection in v‐support vector regression based on opposition‐based learning"

10.1002/cem.3311/v1/review2 ◽

2020 ◽

Keyword(s):

Feature Selection ◽

Support Vector Regression ◽

Optimization Algorithm ◽

Support Vector ◽

Opposition Based Learning

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Opposition-based learning for competitive hub location: A bi-objective biogeography-based optimization algorithm

Knowledge-Based Systems ◽

10.1016/j.knosys.2017.04.017 ◽

2017 ◽

Vol 128 ◽

pp. 1-19 ◽

Cited By ~ 13

Author(s):

Amir Hossein Niknamfar ◽

Seyed Taghi Akhavan Niaki ◽

Seyed Armin Akhavan Niaki

Keyword(s):

Optimization Algorithm ◽

Hub Location ◽

Opposition Based Learning

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Derivation of epsilon (e) and pi (Π) from the kinetic molecular theory of matter

Global Journal of Pure and Applied Sciences ◽

10.4314/gjpas.v16i3.62863 ◽

2010 ◽

Vol 16 (3) ◽

Author(s):

C.G Osuagwu ◽

A.A Ayuk

Keyword(s):

Molecular Theory ◽

Kinetic Molecular Theory

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