摘要
演化计算为代表的群体智能的迅速发展引发了人工智能领域新一轮技术变革.为满足多样化复杂系统应用需求,人工智能越来越趋向于跨级别的智能化、协同化研究.该文提出面向演化计算的群智协同的概念,根据群智协同层级将人工智能跨级别的智能化、协同化研究分为微观协同、中观协同与宏观协同,以群智协同视角对近年来上述分支领域相关研究做出了总结.首先,通过分析决策变量级协同、全局与局部级协同对微观协同进行了阐述.其次,从目标级协同和任务级协同两个维度对中观协同进行了总结.再次,以智能协同系统中存在的空天地海协同、车路云协同和端边云协同对宏观协同展开分析.最后,该文指出了面向演化计算的群智协同领域的研究挑战,并对相关领域发展方向进行了展望.
Abstract
The rapid development of swarm intelligence,represented by evolutionary computation,has triggered a new wave of technological transformation in the field of artificial intelligence.To meet the diverse application needs of complex systems,artificial intelligence is increasingly moving towards cross-level intelligent and collaborative research.In this paper,the concept of swarm intelligence cooperation oriented towards evolutionary computation is proposed.Based on the hierarchical levels of swarm intelligence cooperation,artificial intelligence research across different levels is categorized into micro-level cooperation,meso-level cooperation,and macro-level cooperation.From the perspective of swarm intelligence cooperation,a summary is provided on recent research in the aforementioned branches.Firstly,the micro-level cooperation is discussed by analyzing decision variable level cooperation and global/local level cooperation.Secondly,the meso-level cooperation is summarized from the dimensions of objective-level cooperation and task-level cooperation.Furthermore,an analysis of macro-level cooperation is conducted through the examination of space-air-ground-sea cooperation,vehicle-road-cloud cooperation,and edge-cloud cooperation in intelligent collaborative systems.Finally,the research challenges in the field of swarm intelligence cooperation oriented towards evolutionary computation are identified,and future directions for related fields are proposed.
维普
万方数据