Emerging research on swarm intellige...
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  • Emerging research on swarm intelligence and algorithm optimization /
  • Record Type: Language materials, printed : Monograph/item
    [NT 15000414]: 006.3/824
    Title/Author: Emerging research on swarm intelligence and algorithm optimization // Yuhui Shi, editor.
    other author: Shi, Yuhui,
    Description: PDFs (341 pages).
    Subject: Swarm intelligence.
    ISBN: 9781466663299 (ebook)
    ISBN: 9781466663282
    ISBN: 9781466663312
    [NT 15000227]: Includes bibliographical references.
    [NT 15000228]: An optimization algorithm based on brainstorming process / Yuhui Shi -- Analysis of firefly algorithms and automatic parameter tuning / Xin-She Yang -- A complementary cyber swarm algorithm / Peng-Yeng Yin, Fred Glover, Manuel Laguna, Jia-Xian Zhu -- Population diversity of particle swarm optimizer solving single- and multi-objective problems / Shi Cheng, Yuhui Shi, Quande Qin -- Experimental study on boundary constraints handling in particle swarm optimization from a population diversity perspective / Shi Cheng, Yuhui Shi, Quande Qin -- A particle swarm optimizer for constrained multiobjective optimization / Wen Fung Leong, Yali Wu, Gary G. Yen -- Hybrid swarm intelligence-based biclustering approach for recommendation of web pages / R. Rathipriya, K. Thangavel -- Optimization of drilling process via weightless swarm algorithm / T. O. Ting -- Artificial insect algorithms for routing in wireless sensor systems / Li-Minn Ang, Adamu Murtala Zungeru, Kah Phooi Seng, Daryoush Habibi -- Coverage path planning using mobile robot team formations / Prithviraj Dasgupta -- Path relinking scheme for the max-cut problem / Volodymyr P. Shylo, Oleg V. Shylo -- Image segmentation based on bio-inspired optimization algorithms / Hongwei Mo, Lifang Xu, Mengjiao Geng -- Swarm intelligence for dimensionality reduction: how to improve the non-negative matrix factorization with nature-inspired optimization methods / Andreas Janecek, Ying Tan.
    [NT 15000229]: "This book discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design and discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field"--Provided by publisher.
    Online resource: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-6328-2
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