Artificial physics optimisation algorithm guided by diversity

Author： Yang Gangjun   Xie Liping   Tan Ying   Cui Zhihua  

Publisher： Inderscience Publishers

ISSN： 0952-8091

Source： International Journal of Computer Applications in Technology, Vol.46, Iss.4, 2013-04, pp. : 369-375

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Mass functions design of artificial physics optimisation algorithm for constrained optimisation problem

By Xie Liping   Yin Jian   Zhang Hongli   Tan Ying  

International Journal of Computer Applications in Technology, Vol. 46, Iss. 3, 2013-03 ,pp. : 220-227

Inderscience Publishers

Access to resources Recommend Favorite

Swarm robots search based on artificial physics optimisation algorithm

By Xie Liping   Yang Gangjun   Zeng Jianchao   Cui Zhihua  

International Journal of Computing Science and Mathematics, Vol. 4, Iss. 1, 2013-06 ,pp. : 62-71

Inderscience Publishers

Access to resources Recommend Favorite

The selection strategy of mass functions in artificial physics optimisation algorithm

By Xie Liping   Tan Ying   Zeng Jianchao   Cui Zhihua  

International Journal of Modelling, Identification and Control, Vol. 18, Iss. 3, 2013-03 ,pp. : 226-233

Inderscience Publishers

Access to resources Recommend Favorite

The model of swarm robots search with local sense based on artificial physics optimisation

By Xie Liping   Yang Gangjun   Zeng Jianchao  

International Journal of Computing Science and Mathematics, Vol. 4, Iss. 3, 2013-10 ,pp. : 222-230

Inderscience Publishers

Access to resources Recommend Favorite

A self-organisation particle swarm optimisation algorithm based on L norm multi-measurements diversity feedback

By Jiang Shanhe  

International Journal of Computer Applications in Technology, Vol. 47, Iss. 2-3, 2013-06 ,pp. : 262-272

Inderscience Publishers

Access to resources Recommend Favorite