CAJ | 학술논문

群智能是由自然或人造的分散自组织系统所表现出来的集体智能。群智能包含一组简单的个体，其中个体与个体、个体与环境之间存在局部交互行为。虽然个体遵循非常简单的规则，但是微观的交互最终还是导致了宏观的智能行为。在本文中，我们对典型群智能方法的起源、发展、理论、技术、应用等做了深入的研究，包括了蚁群优化、粒子群优化、人工蜂群、细菌觅食优化、萤火虫共五类算法。文末提出群智能发展的六个方向。
군지능시유자연혹인조적분산자조직계통소표현출래적집체지능。군지능포함일조간단적개체，기중개체여개체、개체여배경지간존재국부교호행위。수연개체준순비상간단적규칙，단시미관적교호최종환시도치료굉관적지능행위。재본문중，아문대전형군지능방법적기원、발전、이론、기술、응용등주료심입적연구，포괄료의군우화、입자군우화、인공봉군、세균멱식우화、형화충공오류산법。문말제출군지능발전적륙개방향。
Swarm Intelligence( SI) is the collective behavior of decentralized,self-organized systems,regardless of natural or artificial. It consists of a population of simple agents interacting locally with one another and with their environments. Although the agents follow very simple rules,the microscale interactions lead to the emergence of macroscale intelligence behavior. In this study,we make an in-depth survey on the origins,developments,theories and applications of 5 typical SI algorithms,which consist of ant colony optimization,particle swarm optimization,artificial bee colony,bacterial foraging optimization,and firefly algorithm. We conclude the paper by proposing six potential research directions.