東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Critical developments and applicatio...

Shi, Yuhui,

Linked to FindBook

Google Book

Amazon

博客來

Critical developments and applications of swarm intelligence

Record Type:	Electronic resources : Monograph/item
Title/Author:	Critical developments and applications of swarm intelligence/ Yuhui Shi, editor.
other author:	Shi, Yuhui,
Published:	Hershey, Pennsylvania :IGI Global, : [2018],
Description:	1 online resource (xxiv, 478 p.)
[NT 15003449]:	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.
Subject:	Swarm intelligence. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5134-8
ISBN:	9781522551355 (ebook)

Critical developments and applications of swarm intelligence
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:

577800
Swarm intelligence.

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

Dewey Class. No.: 006.3/824

Critical developments and applications of swarm intelligence
LDR:02995nmm a2200301 a 4500 001 2137973
003 IGIG
005 20181030095526.0
006 m o d
006 m eo d
007 cr cn
007 cr bn |||m|||a
008 181117s2018 pau fob 001 0 eng d
010 $z 2017035978
020 $a 9781522551355 (ebook)
020 $a 9781522551348 (hardcover)
035 $a (OCoLC)1022579398
035 $a 1071025344
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 4 $a Q337.3 $b .C75 2018e
082 0 4 $a 006.3/824 $2 23
245 0 0 $a Critical developments and applications of swarm intelligence $h [electronic resource] / $c Yuhui Shi, editor.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2018]
300 $a 1 online resource (xxiv, 478 p.)
504 $a Includes bibliographical references and index.
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 577800
700 1 $a Shi, Yuhui, $e editor. $3 3311025
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5134-8