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Titlebook: Advances in Swarm Intelligence; 7th International Co Ying Tan,Yuhui Shi,Ben Niu Conference proceedings 2016 Springer International Publishi

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發(fā)表于 2025-3-21 19:33:05 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Swarm Intelligence
期刊簡稱7th International Co
影響因子2023Ying Tan,Yuhui Shi,Ben Niu
視頻videohttp://file.papertrans.cn/150/149960/149960.mp4
發(fā)行地址Includes supplementary material:
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advances in Swarm Intelligence; 7th International Co Ying Tan,Yuhui Shi,Ben Niu Conference proceedings 2016 Springer International Publishi
影響因子.?..This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed proceedings of the 7th International Conference on Swarm Intelligence, ICSI 2016, held in Bali, Indonesia, in June 2016. The 130 revised regular papers presented were carefully reviewed and selected from 231 submissions. The papers are organized in 22 cohesive sections covering major topics of swarm intelligence and related areas such as trend and models of swarm intelligence research; novel swarm-based optimization algorithms; swarming behaviour; some swarm intelligence algorithms and their applications; hybrid search optimization; particle swarm optimization; PSO applications; ant colony optimization; brain storm optimization; fireworks algorithms; multi-objective optimization; large-scale global optimization; biometrics;?scheduling and planning; machine learning methods; clustering algorithm; classification; image classification and encryption; data mining; sensor networks and social networks; neural networks; swarm intelligence in management decision making and operations research; robot control; swarm robotics; intelligent energy and communications systems; and intelligent and interactive and tutoring sys
Pindex Conference proceedings 2016
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Swarmscape: A Synergistic Approach Combining Swarm Simulations, Body Movement and Volumetric Project, frequency and intensity of movement of human body are used as parameters for activating a swarm of volumetrically projected digital particles/agents in space in real-time. Evolving 3D topological nuances within which the participant navigates and in doing so triggers further evolution of these immersive topologies are thus materialized.
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發(fā)表于 2025-3-22 16:45:50 | 只看該作者
Particle Filter Optimization: A Brief Introductionthe theoretical foundation for all PFO algorithms. Second, it reviews PFO algorithms under the umbrella of the PF theory. Lastly, it discusses promising research directions on the interface of PF methods and swarm intelligence techniques.
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A Simulation Study on Collective Motion of Fish Schoolsde when they are very close to medium fish. Originality of the paper comes from the investigation of collective motion of fish with respect to these four modes. Also it is possible to add new individuals and moving feeds while the simulation is running. Polarization and expanse changes of swarm is also analyzed for two modes.
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Recapitulations and Contributionsh worst fighting capabilities is eliminated to maintain the amount of duelists. Several benchmark functions is used in this work. The results shows that Duelist Algorithm outperform other algorithms in several functions.
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