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Titlebook: Advances in Swarm Intelligence; 9th International Co Ying Tan,Yuhui Shi,Qirong Tang Conference proceedings 2018 Springer Nature Switzerland

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发表于 2025-3-21 17:15:15 | 显示全部楼层 |阅读模式
期刊全称Advances in Swarm Intelligence
期刊简称9th International Co
影响因子2023Ying Tan,Yuhui Shi,Qirong Tang
视频videohttp://file.papertrans.cn/150/149947/149947.mp4
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Advances in Swarm Intelligence; 9th International Co Ying Tan,Yuhui Shi,Qirong Tang Conference proceedings 2018 Springer Nature Switzerland
影响因子.The two-volume set of LNCS 10941 and 10942 constitutes the proceedings of the 9th International Conference on Advances in Swarm Intelligence, ICSI 2018, held in Shanghai, China, in June 2018. The total of 113 papers presented in these volumes was carefully reviewed and selected from 197 submissions. The papers were organized in topical sections namely: multi-agent systems; swarm robotics; fuzzy logic approaches; planning and routing problems; recommendation in social media; predication; classification; finding patterns; image enhancement; deep learning; theories and models of swarm intelligence; ant colony optimization; particle swarm optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; bacterial foraging optimization; artificial immune system; hydrologic cycle optimization; other swarm-based optimization algorithms; hybrid optimization algorithms; multi-objective optimization; large-scale global optimization..
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Development of Adaptive Force-Following Impedance Control for Interactive Robot the Cartesian impedance control, which inter-related the external force and the end position. In this way, the manipulator could work as an external force sensor. A novel force-limited trajectory was then generated in a high dynamics interactive manner, keeping the interaction force within acceptab
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A Real-Time Multiagent Strategy Learning Environment and Experimental Framework these social problems. This paper reviews the research on multiagent based real-time strategy game environments, and introduces the multiagent learning environment and related resources. We choose a deep learning environment based on the . game as a research environment for multiagent collaboration
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Event-Triggered Communication Mechanism for Distributed Flocking Control of Nonholonomic Multi-agentuce the inter-agent communication cost for the distributed control of MAS. Communication of an agent with others only occurs when event triggering condition (ETC) is met. In the absence of communication, other agents adopt an estimation process to acquire the required information about the agent. Ea
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Distributed Decision Making and Control for Cooperative Transportation Using Mobile Robotsment. Crucially, there is no centralized control instance or inter-robot hierarchy, and therefore, all decisions are made in a distributed manner. For being able to cooperate, the robots communicate, although the communication sampling time may be several times longer than the control sampling time.
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