arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2106.04775cs.NEcs.AI
收藏

2020年受生物行为启发的算法分类

A 2020 taxonomy of algorithms inspired on living beings behavior

Universidad Autónoma de Nuevo León(新莱昂自治大学)

Luis Torres-Treviño

摘要:

以计算机自然学家的角色,通过生物启发的算法进行旅程,考虑到生物行为启发的算法。算法的汇编是考虑到生物启发的仿生学和群体智能的几个评论或调查,直到2020年。分类是根据生物学家所使用的界来进行的,产生了动物、细菌、植物、真菌和原生生物的几个分支来发展分类学。

英文摘要:

Taking the role of a computer naturalist, a journey is taken through bio inspired algorithms taking account on algorithms which are inspired on living being behaviors. A compilation of algorithms is made considering several reviews or surveys of bio-inspired heuristics and swarm intelligence until 2020 year. A classification is made considering kingdoms as used by biologists generating several branches for animalia, bacteria, plants, fungi and protista to develop a taxonomy.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑