HOW TO DESIGN OPTIMIZATION ALGORITHMS BY APPLYING NATURAL BEHAVIORAL PATTERNS

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Omidvar, Rohollah
Otros Autores: Bidgoli, Behrouz Minaei
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [S.l.] : BENTHAM SCIENCE PUBLISHER, 2021.
Temas:
Algorithms.
Natural language processing (Computer science)
Computer algorithms.
Algorithmes.
Traitement automatique des langues naturelles.
algorithms.
Algorithms
Computer algorithms
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Intro
  • CONTENTS
  • Cover
  • Title
  • Copyright
  • End User License Agreement
  • Contents
  • Foreword
  • Preface
  • Dedication
  • Introduction to Optimization
  • Nature and Optimization Algorithms
  • How to Formulate Natural Ideas in Several Algorithms
  • 3.1. SSPCO ALGORITHM (SEE-SEE PARTRIDGE)
  • 3.2. SIMULATION RESULTS
  • 3.3. CHAOTIC SSPCO ALGORITHM
  • 3.4. THE FIRST METHOD: CHAOTIC SSPCO ALGORITHM
  • 3.5. THE SECOND EQUATION: CHAOTIC SSPCO
  • 3.6. SIMULATION AND RESULTS
  • 3.7. DATA CLUSTERING USING BY CHAOTIC SSPCO ALGORITHM
  • 3.8. FITNESS FUNCTION
  • 3.9. EXPERIMENTAL STUDY
  • 3.10. RESULTS AND DISCUSSIONS
  • 3.11. T-TEST
  • 3.12. FRIEDMAN TEST
  • 3.13. A CLUSTERING APPROACH BY SSPCO OPTIMIZATION ALGORITHM BASED ON CHAOTIC INITIAL POPULATION
  • 3.14. FITNESS FUNCTION
  • 3.15. EXPERIMENTAL STUDY
  • 3.16. RESULTS AND DISCUSSIONS
  • 3.17. T-TEST
  • 3.18. TRAVELING SALESMAN PROBLEM
  • 3.19. SIMULATION AND RESULTS
  • 3.20. ESCAPE FROM HUNTER PARTICLE SWARM OPTIMIZATION
  • 3.21. EXPERIMENTAL RESULT
  • 3.22. PROVIDING A BIRD ALGORITHM BASED ON CLASSICAL CONDITIONING LEARNING BEHAVIOUR
  • 3.23. SIMULATION AND RESULTS
  • How to Transform the Behaviour in Nature into the Algorithm
  • 4.1. CHAOTIC INTIAL POPULATION
  • 4.2. CHAOTIC CREATION OF FOOD SOURCES
  • Conclusion
  • References
  • REFERENCES
  • Subject Index
  • Back Cover

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