大葉大學圖書館 |

Emerging research on swarm intelligence and algorithm optimization /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.3/824
書名/作者:	Emerging research on swarm intelligence and algorithm optimization // Yuhui Shi, editor.
其他作者:	Shi, Yuhui,
面頁冊數:	PDFs (341 pages).
標題:	Swarm intelligence.
ISBN:	9781466663299 (ebook)
ISBN:	9781466663282
ISBN:	9781466663312
書目註:	Includes bibliographical references.
內容註:	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.
摘要、提要註:	"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.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-6328-2

Emerging research on swarm intelligence and algorithm optimization /
Emerging research on swarm intelligence and algorithm optimization /Yuhui Shi, editor. - PDFs (341 pages).

Includes bibliographical references.

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.

Restricted to subscribers or individual electronic text purchasers.

"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.

Mode of access: World Wide Web.

ISBN: 9781466663299 (ebook)

Standard No.: 10.4018/978-1-4666-6328-2doi

LCCN: 2014019023Subjects--Topical Terms:

470574
Swarm intelligence.
Subjects--Index Terms:

Ant colony optimization

LC Class. No.: Q337.3 / .E537 2015e

Dewey Class. No.: 006.3/824

Emerging research on swarm intelligence and algorithm optimization /
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504 $a Includes bibliographical references.
505 0 $a 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.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "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.
530 $a Also available in print.
538 $a Mode of access: World Wide Web.
650 0 $a Swarm intelligence. $3 470574
653 $a Ant colony optimization
653 $a Collective biological systems
653 $a Computational intelligence
653 $a Differential evolution
653 $a Particle swarm optimization
653 $a Scheduling
653 $a Swarm robotics
700 1 $a Shi, Yuhui, $e editor. $3 608306
710 2 $a IGI Global, $e publisher. $3 608005
776 0 $c (Original) $w (DLC)2014019023
776 0 8 $i Print version: $z 1466663286 $z 9781466663282 $w (DLC) 2014019023
856 4 1 $3 Chapter PDFs via platform: $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-6328-2