How to Design Optimization Algorithms by Applying Natural Behavioral Patterns
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How to Design Optimization Algorithms by Applying Natural Behavioral Patterns is a guide book that introduces readers to optimization algorithms based on natural language processing. Readers will learn about the basic concept of optimization, optimization algorithm fundamentals and the methods employed to formulate natural ideas and behaviors into algorithms. Readers will learn how to create their own algorithm from the information provided in the text. The book is a simple reference to students and programming enthusiasts who are interested in learning about optimization and the process of designing algorithms designed to mimic natural phenomena. 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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