Critical developments and applications of swarm intelligence:
"This book provides innovative findings in swarm intelligence, evolutionary computation, computational intelligence, optimization techniques, and their applications"--
Saved in:
| Other Authors: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
[2018]
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | "This book provides innovative findings in swarm intelligence, evolutionary computation, computational intelligence, optimization techniques, and their applications"-- |
| Physical Description: | 25 PDFs (xxiv, 478 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781522551355 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
Staff View
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| 245 | 0 | 0 | |a Critical developments and applications of swarm intelligence |c Yuhui Shi, editor. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c [2018] | |
| 300 | |a 25 PDFs (xxiv, 478 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 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. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | 0 | |a Description based on title screen (IGI Global, viewed 02/08/2018). | |
| 650 | 0 | |a Swarm intelligence. | |
| 653 | |a Agent-Based Approaches. | ||
| 653 | |a Algorithm Based Model. | ||
| 653 | |a Computational Comparison. | ||
| 653 | |a Evolutionary Algorithms. | ||
| 653 | |a Image Perturbation. | ||
| 653 | |a Method Based PSO. | ||
| 653 | |a Optimization Techniques. | ||
| 700 | 1 | |a Shi, Yuhui |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2017035978 | |
| 776 | 0 | 8 | |i Print version: |z 1522551344 |z 9781522551348 |w (DLC) 2017035978 |
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| _version_ | 1826942594383347713 |
| adam_text | |
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| author2 | Shi, Yuhui |
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| author_facet | Shi, Yuhui |
| building | Verbundindex |
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| contents | 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. |
| ctrlnum | (CaBNVSL)slc19857394 (OCoLC)1022579398 |
| dewey-full | 006.3/824 |
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| id | ZDB-98-IGB-00187078 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:29Z |
| institution | BVB |
| isbn | 9781522551355 |
| language | English |
| oclc_num | 1022579398 |
| open_access_boolean | |
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| owner_facet | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 25 PDFs (xxiv, 478 Seiten) Also available in print. |
| psigel | ZDB-98-IGB FWS_PDA_IGB ZDB-98-IGB |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | IGI Global |
| record_format | marc |
| spelling | Critical developments and applications of swarm intelligence Yuhui Shi, editor. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global [2018] 25 PDFs (xxiv, 478 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier 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"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 02/08/2018). Swarm intelligence. Agent-Based Approaches. Algorithm Based Model. Computational Comparison. Evolutionary Algorithms. Image Perturbation. Method Based PSO. Optimization Techniques. Shi, Yuhui editor. IGI Global, publisher. (Original) (DLC)2017035978 Print version: 1522551344 9781522551348 (DLC) 2017035978 |
| spellingShingle | Critical developments and applications of swarm intelligence 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. Swarm intelligence. |
| title | Critical developments and applications of swarm intelligence |
| title_auth | Critical developments and applications of swarm intelligence |
| title_exact_search | Critical developments and applications of swarm intelligence |
| title_full | Critical developments and applications of swarm intelligence Yuhui Shi, editor. |
| title_fullStr | Critical developments and applications of swarm intelligence Yuhui Shi, editor. |
| title_full_unstemmed | Critical developments and applications of swarm intelligence Yuhui Shi, editor. |
| title_short | Critical developments and applications of swarm intelligence |
| title_sort | critical developments and applications of swarm intelligence |
| topic | Swarm intelligence. |
| topic_facet | Swarm intelligence. |
| work_keys_str_mv | AT shiyuhui criticaldevelopmentsandapplicationsofswarmintelligence AT igiglobal criticaldevelopmentsandapplicationsofswarmintelligence |