电子测试
電子測試
전자측시
ELECTRONIC TEST
2015年
13期
44-47
,共4页
萤火虫算法%荧光素%感知范围%改进
螢火蟲算法%熒光素%感知範圍%改進
형화충산법%형광소%감지범위%개진
Glowworm Swarm Optimization%luciferin%feeling range%improvement
萤火虫算法是通过模拟萤火虫在觅食和求偶等生活习性中产生的因光而吸引移动的行为来解决最优问题的一种新型群体智能优化算法。萤火虫算法因具有较强的鲁棒性和随机搜索性，已广泛地应用于函数寻优、聚类问题、机器人协作等多个方面。本文阐述了萤火虫算法的基本原理，给出了现有的各种改进算法，并展望了萤火虫算法的发展方向。
螢火蟲算法是通過模擬螢火蟲在覓食和求偶等生活習性中產生的因光而吸引移動的行為來解決最優問題的一種新型群體智能優化算法。螢火蟲算法因具有較彊的魯棒性和隨機搜索性，已廣汎地應用于函數尋優、聚類問題、機器人協作等多箇方麵。本文闡述瞭螢火蟲算法的基本原理，給齣瞭現有的各種改進算法，併展望瞭螢火蟲算法的髮展方嚮。
형화충산법시통과모의형화충재멱식화구우등생활습성중산생적인광이흡인이동적행위래해결최우문제적일충신형군체지능우화산법。형화충산법인구유교강적로봉성화수궤수색성，이엄범지응용우함수심우、취류문제、궤기인협작등다개방면。본문천술료형화충산법적기본원리，급출료현유적각충개진산법，병전망료형화충산법적발전방향。
Glowworm swarm optimization is a new type of swarm intelligence optimization algorithm by simulating the fireflies in foraging and mating habits of each other due to the light and attract mobile behavior to solve the optimal problem of.The Glowworm swarm optimization has strong robustness and stochastic searching capability, has been widely used in function optimization,clustering problems, robot cooperation,and many other aspects.This article expounds the basic principles of Glowworm swarm optimization,the existing various kinds of improved algorithm is given,and put forward the development direction of Glowworm swarm optimization.
