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(Ebook) Particle Swarm Optimization and Intelligence Advances and Applications Premier Reference Source 1st edition by Konstantinos Parsopoulos, Michael Vrahatis 1615206663 9781615206667

  • SKU: EBN-1375664
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Instant download (eBook) Particle Swarm Optimization and Intelligence: Advances and Applications (Premier Reference Source) after payment.
Authors:Konstantinos E. Parsopoulos, Michael N. Vrahatis
Pages:329 pages.
Year:2010
Editon:1
Publisher:Information Science Publishing
Language:english
File Size:7.61 MB
Format:pdf
ISBNS:9781615206667, 1615206663
Categories: Ebooks

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(Ebook) Particle Swarm Optimization and Intelligence Advances and Applications Premier Reference Source 1st edition by Konstantinos Parsopoulos, Michael Vrahatis 1615206663 9781615206667

Particle Swarm Optimization and Intelligence: Advances and Applications (Premier Reference Source) 1st edition by Konstantinos E. Parsopoulos, Michael N. Vrahatis - Ebook PDF Instant Download/DeliveryISBN:  1615206663, 9781615206667 

Full download Particle Swarm Optimization and Intelligence: Advances and Applications (Premier Reference Source) 1st edition after payment.



Product details:

ISBN-10 :  1615206663 

ISBN-13 :  9781615206667

Author: Konstantinos E. Parsopoulos, Michael N. Vrahatis 

Since its initial development, particle swarm optimization has gained wide recognition due to its ability to provide solutions efficiently, requiring only minimal implementation effort. Particle Swarm Optimization and Intelligence: Advances and Applications examines modern intelligent optimization algorithms proven as very efficient in applications from various scientific and technological fields. Providing distinguished and unique research, this innovative publication offers a compendium of leading field experiences as well as theoretical analyses and complementary techniques useful to academicians and practitioners.

 

Particle Swarm Optimization and Intelligence: Advances and Applications (Premier Reference Source) 1st table of contents:

  1. Particle Swarm Optimization
  2. Theoretical Derivationsand Application Issues
  3. Established and RecentlyProposed Variants of ParticleSwarm Optimization
  4. Performance-EnhancingTechniques
  5. Applications inMachine Learning
  6. Applications inDynamical Systems
  7. Applications inOperations Research
  8. Applications in Bioinformaticsand Medical Informatics
  9. Applications in Noisy andDynamic Environments
  10. Applications inMultiobjective, Constrainedand Minimax Problems

 

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Tags: Particle Swarm, Optimization, Intelligence, Advances, Applications, Konstantinos Parsopoulos, Michael Vrahatis

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