A Survey of Collaborative of Swarm Intelligence for Evolutionary Computation

GONG Maoguo; LUO Tianshi; LI Hao; HE Yajing

doi:10.11999/JEIT231195

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GONG Maoguo, LUO Tianshi, LI Hao, HE Yajing. A Survey of Collaborative of Swarm Intelligence for Evolutionary Computation[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT231195

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GONG Maoguo, LUO Tianshi, LI Hao, HE Yajing. A Survey of Collaborative of Swarm Intelligence for Evolutionary Computation[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT231195

GONG Maoguo, LUO Tianshi, LI Hao, HE Yajing. A Survey of Collaborative of Swarm Intelligence for Evolutionary Computation[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT231195

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A Survey of Collaborative of Swarm Intelligence for Evolutionary Computation

doi: 10.11999/JEIT231195

Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi’an 710071, China

Funds: The National Natural Science Foundation of China (62036006)

Received Date: 2023-10-31
Rev Recd Date: 2024-04-02

Available Online: 2024-04-18

Abstract

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.
- Collaborative optimization,
- Swarm intelligence,
- Evolutionary computation

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References(161)

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