A Logical Transformation Method of the Motion Rules for Swarms

Created by W.Langdon from gp-bibliography.bib Revision:1.7644

@InProceedings{Tao:2021:BigDIA,

• author = "Jingjing Tao and Xiaomin Zhu and Li Ma and Meng Wu and Xiaoqing Li and Liyuan Niu",
• title = "A Logical Transformation Method of the Motion Rules for Swarms",
• booktitle = "2021 7th International Conference on Big Data and Information Analytics (BigDIA)",
• year = "2021",
• pages = "472--477",
• abstract = "Swarm intelligence involves designing appropriate rules which make swarms with the same limited ability organize themselves to accomplish desired tasks. Numerous studies have designed many different motion rules. According to a designed rule, a swarm can self-organize into a desired pattern, such as a gathering pattern or a flocking pattern. However, for swarms that need to complete multiple tasks, it tends to be not enough to devise motion rules of forming a single pattern. Therefore, this paper presents a logical transformation method of motion rules for swarms, which essentially matches different motion rules to corresponding conditional states. The method consists of two steps: the construction of the set of conditional states and the set of motion rules, and the matching optimization calculation using genetic programming. The feasibility of this method is verified by simulations.",
• keywords = "genetic algorithms, genetic programming, Design methodology, Big Data, Task analysis, Particle swarm optimization, Optimization, swarm intelligence, motion rules, gene programming, matching optimization",
• DOI = "doi:10.1109/BigDIA53151.2021.9619739",
• month = oct,
• notes = "Also known as \cite{9619739}",

}

Genetic Programming entries for Jingjing Tao Xiaomin Zhu Li Ma Meng Wu Xiaoqing Li Liyuan Niu

Citations