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Critical developments and applications of swarm intelligence[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	006.3/824
書名/作者:	Critical developments and applications of swarm intelligence/ Yuhui Shi, editor.
其他作者:	Shi, Yuhui,
出版者:	Hershey, Pennsylvania : : IGI Global,, [2018]
面頁冊數:	1 online resource (xxiv, 478 p.)
標題:	Swarm intelligence.
ISBN:	9781522551355 (ebook)
ISBN:	9781522551348 (hardcover)
書目註:	Includes bibliographical references and index.
內容註:	Section 1. Swarm intelligence algorithms. Chapter 1. Unified swarm intelligence algorithms ; Chapter 2. Local best particle swarm optimization using crown jewel defense strategy ; Chapter 3. Multi-objective binary fish school search ; Chapter 4. City group optimization: an optimizer for continuous problems ; Chapter 5. Magnetotactic bacteria optimization algorithm (MBOA) for function optimization: MBOA based on four best-Rand pairwise schemes ; Chapter 6. An analysis on fireworks algorithm solving problems with shifts in the decision space and objective space -- Section 2. Swarm intelligence applications. Chapter 7. Assessment of gamma-ray-spectra analysis method utilizing the fireworks algorithm for various error measures ; Chapter 8. A computational comparison of swarm optimization techniques for optimal load shedding under the presence of FACTS devices to avoid voltage instability ; Chapter 9. Using particle swarm optimization algorithm as an optimization tool within developed neural networks ; Chapter 10. Squeeze casting parameter optimization using swarm intelligence and evolutionary algorithms ; Chapter 11. Swarm-intelligence-based communication protocols for wireless sensor networks ; Chapter 12. Image reconstruction of electrical impedance tomography using fish school search and differential evolution ; Chapter 13. Multi-thresholding of histopathological images using fuzzy entropy and parameterless cuckoo search ; Chapter 14. Optimized base station sleeping and smart grid energy procurement scheme to improve energy efficiency ; Chapter 15. Using cuckoo search algorithm for hybrid flow shop scheduling problems under makespan criterion ; Chapter 16. Particle swarm optimization for model predictive control in reinforcement learning environments.
摘要、提要註:	"This book provides innovative findings in swarm intelligence, evolutionary computation, computational intelligence, optimization techniques, and their applications"--
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5134-8

Critical developments and applications of swarm intelligence[electronic resource] /
Critical developments and applications of swarm intelligence[electronic resource] /Yuhui Shi, editor. - Hershey, Pennsylvania :IGI Global,[2018] - 1 online resource (xxiv, 478 p.)

Includes bibliographical references and index.

Section 1. Swarm intelligence algorithms. Chapter 1. Unified swarm intelligence algorithms ; Chapter 2. Local best particle swarm optimization using crown jewel defense strategy ; Chapter 3. Multi-objective binary fish school search ; Chapter 4. City group optimization: an optimizer for continuous problems ; Chapter 5. Magnetotactic bacteria optimization algorithm (MBOA) for function optimization: MBOA based on four best-Rand pairwise schemes ; Chapter 6. An analysis on fireworks algorithm solving problems with shifts in the decision space and objective space -- Section 2. Swarm intelligence applications. Chapter 7. Assessment of gamma-ray-spectra analysis method utilizing the fireworks algorithm for various error measures ; Chapter 8. A computational comparison of swarm optimization techniques for optimal load shedding under the presence of FACTS devices to avoid voltage instability ; Chapter 9. Using particle swarm optimization algorithm as an optimization tool within developed neural networks ; Chapter 10. Squeeze casting parameter optimization using swarm intelligence and evolutionary algorithms ; Chapter 11. Swarm-intelligence-based communication protocols for wireless sensor networks ; Chapter 12. Image reconstruction of electrical impedance tomography using fish school search and differential evolution ; Chapter 13. Multi-thresholding of histopathological images using fuzzy entropy and parameterless cuckoo search ; Chapter 14. Optimized base station sleeping and smart grid energy procurement scheme to improve energy efficiency ; Chapter 15. Using cuckoo search algorithm for hybrid flow shop scheduling problems under makespan criterion ; Chapter 16. Particle swarm optimization for model predictive control in reinforcement learning environments.

Restricted to subscribers or individual electronic text purchasers.

"This book provides innovative findings in swarm intelligence, evolutionary computation, computational intelligence, optimization techniques, and their applications"--

ISBN: 9781522551355 (ebook)Subjects--Topical Terms:

470574
Swarm intelligence.

LC Class. No.: Q337.3 / .C75 2018e

Dewey Class. No.: 006.3/824

Critical developments and applications of swarm intelligence[electronic resource] /
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300 $a 1 online resource (xxiv, 478 p.)
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505 0 $a Section 1. Swarm intelligence algorithms. Chapter 1. Unified swarm intelligence algorithms ; Chapter 2. Local best particle swarm optimization using crown jewel defense strategy ; Chapter 3. Multi-objective binary fish school search ; Chapter 4. City group optimization: an optimizer for continuous problems ; Chapter 5. Magnetotactic bacteria optimization algorithm (MBOA) for function optimization: MBOA based on four best-Rand pairwise schemes ; Chapter 6. An analysis on fireworks algorithm solving problems with shifts in the decision space and objective space -- Section 2. Swarm intelligence applications. Chapter 7. Assessment of gamma-ray-spectra analysis method utilizing the fireworks algorithm for various error measures ; Chapter 8. A computational comparison of swarm optimization techniques for optimal load shedding under the presence of FACTS devices to avoid voltage instability ; Chapter 9. Using particle swarm optimization algorithm as an optimization tool within developed neural networks ; Chapter 10. Squeeze casting parameter optimization using swarm intelligence and evolutionary algorithms ; Chapter 11. Swarm-intelligence-based communication protocols for wireless sensor networks ; Chapter 12. Image reconstruction of electrical impedance tomography using fish school search and differential evolution ; Chapter 13. Multi-thresholding of histopathological images using fuzzy entropy and parameterless cuckoo search ; Chapter 14. Optimized base station sleeping and smart grid energy procurement scheme to improve energy efficiency ; Chapter 15. Using cuckoo search algorithm for hybrid flow shop scheduling problems under makespan criterion ; Chapter 16. Particle swarm optimization for model predictive control in reinforcement learning environments.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book provides innovative findings in swarm intelligence, evolutionary computation, computational intelligence, optimization techniques, and their applications"-- $c Provided by publisher.
650 0 $a Swarm intelligence. $3 470574
700 1 $a Shi, Yuhui, $e editor. $3 608306
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5134-8