Research on group animation design technology based on artificial fish swarm algorithm-Reference-Cited by-同舟云学术

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Research on group animation design technology based on artificial fish swarm algorithm

Published:2020-02-06 Issue:2 Volume:38 Page:1137-1145
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Tian Yuan¹,Li You²,Pan Lin³,Morris Harry⁴

Affiliation:

1. School of Art and Design, Hubei University of Economics, Wuhan, PR China

2. School of Arts Design, Wuchang University of Technology, Wuhan, PR China

3. Research Center of Hubei Logistics Development, Hubei University of Economics, Wuhan, PR China

4. Darden School of Business, University of Virginia, VA, Charlottesville, USA

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference20 articles.

1. Parameters optimization of gm (1, 1) model based on artificial fish swarm algorithm;Lin;Grey Systems,2012

2. Artificial fish swarm parallel algorithm based on multi-core cluster;Shuang;Journal of Computer Applications,2013

3. Application of an artificial fish swarm algorithm in solving multiobjective trajectory optimization problems;Sun;Chemistry & Technology of Fuels & Oils,2017

4. An improved artificial fish swarm algorithm optimized by particle swarm optimization algorithm with extended memory;Duan;Kybernetes,2016

5. Shaofei W. , A Traffic Motion Object Extraction Algorithm, International Journal of Bifurcation and Chaos 25(14) (2015), Articl Number 1540039.

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