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CONTENTS 6 Cover 1 Title 2 Copyright 3 End User License Agreement 4 Contents 6 Foreword 7 Preface 8 Dedication 9 Introduction to Optimization 10 Nature and Optimization Algorithms 16 How to Formulate Natural Ideas in Several Algorithms 23 3.1. SSPCO ALGORITHM (SEE-SEE PARTRIDGE) 23 3.2. SIMULATION RESULTS 26 3.3. CHAOTIC SSPCO ALGORITHM 83 3.4. THE FIRST METHOD: CHAOTIC SSPCO ALGORITHM 84 3.5. THE SECOND EQUATION: CHAOTIC SSPCO 86 3.6. SIMULATION AND RESULTS 88 3.7. DATA CLUSTERING USING BY CHAOTIC SSPCO ALGORITHM 114 3.8. FITNESS FUNCTION 114 3.9. EXPERIMENTAL STUDY 115 3.10. RESULTS AND DISCUSSIONS 116 3.11. T-TEST 122 3.12. FRIEDMAN TEST 124 3.13. A CLUSTERING APPROACH BY SSPCO OPTIMIZATION ALGORITHM BASED ON CHAOTIC INITIAL POPULATION 124 3.14. FITNESS FUNCTION 125 3.15. EXPERIMENTAL STUDY 126 3.16. RESULTS AND DISCUSSIONS 127 3.17. T-TEST 129 3.18. TRAVELING SALESMAN PROBLEM 129 3.19. SIMULATION AND RESULTS 132 3.20. ESCAPE FROM HUNTER PARTICLE SWARM OPTIMIZATION 135 3.21. EXPERIMENTAL RESULT 139 3.22. PROVIDING A BIRD ALGORITHM BASED ON CLASSICAL CONDITIONING LEARNING BEHAVIOUR 151 3.23. SIMULATION AND RESULTS 161 How to Transform the Behaviour in Nature into the Al

Author

Omidvar, Rohollah;Bidgoli, Behrouz Minaei;

Language

EN