Grey Wolf Optimizer: A Pack of Solutions for Your Optimization Problems offers in-depth coverage of recent theoretical advancements in GWO, as well as several variants, improvements, and hybrid approaches developed to enhance the GWO's performance and adaptability. The use of generative AI to improve this algorithm and make it more generic is also explored, along with diverse applications across multiple fields to illustrate the practical utility and versatility of the methods presented. The book offers a deep dive into the algorithm's foundations and presents new developments to help researchers overcome common challenges.
It features numerous case studies and real-world examples across various fields, such as engineering, healthcare, finance, and environmental management. These applications demonstrate the versatility and effectiveness of the GWO in addressing complex, interdisciplinary challenges, making the content highly relevant and practical for readers. Written by some of the world’s most highly cited researchers in the field of artificial intelligence, algorithms, and machine learning, the book serves as an essential resource for researchers and practitioners interested in applying and developing the Grey Wolf Optimizer.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. iv 7. List of contributors - p. xxi 8. About the editor - p. xxv 9. Preface - p. xxvii 10. Chapter 1. Grey wolf optimizer: mathematical principles, computational complexity, convergence proof, and performance analysis - p. 1 11. Chapter 2. A multipopulation grey wolf optimizer with adaptive size reduction and solution exchange for multilevel thresholding in image segmentation - p. 27 12. Chapter 3. Theoretical foundations and methodologies of the grey wolf optimizer - p. 45 13. Chapter 4. In-depth mathematical analysis, dynamic behavior, and convergence proof of the grey wolf pptimizer - p. 67 14. Chapter 5. Binary grey wolf and football optimization algorithm for potato leaf disease image classification with deep learning - p. 103 15. Chapter 6. Bibliometric analysis of the grey wolf optimizer - p. 121 16. Chapter 7. An enhanced medical prediction model for diabetes using grey wolf optimizer-assisted wrapper-based algorithms - p. 149 17. Chapter 8. Performance analysis of the grey wolf optimizer and its variants in global search optimization - p. 165 18. Chapter 9. Optimal parameter prediction for photovoltaic modules using the grey wolf optimizer: a case study from a university-based photovoltaic station in Türkiye - p. 195 19. Chapter 10. Predictive bridge deterioration modeling with a hybrid stochastic paint optimizer, grey wolf optimizer, and extreme learning machine algorithm - p. 209 20. Chapter 11. Performance comparison of grey wolf optimizer-tuned controllers in functional electrical stimulation applications - p. 225 21. Chapter 12. Grey wolf optimizer algorithm for buckling load maximization of stiffened piezolaminated composite plates - p. 239 22. Chapter 13. Efficient application mapping onto three-dimensional network-on-chips using the grey wolf optimizer - p. 257 23. Chapter 14. Line sampling method based on grey wolf optimizer for structural reliability analysis - p. 275 24. Chapter 15. Applications and real-world case studies: the grey wolf optimizer for feature selection in intrusion detection systems - p. 289 25. Chapter 16. Optimizing solutions of fractional differential equations using the grey wolf optimizer and homotopy analysis method - p. 301 26. Chapter 17. Performance evaluation of the grey wolf optimizer against advanced differential evolution variants - p. 313 27. Chapter 18. Grey wolf optimizer enabled optimization of Ti6Al4V surface morphology and wear behavior - p. 327 28. Chapter 19. Budget constrained fairness aware incentive recommendation with uplift modeling using grey wolf optimization - p. 355 29. Chapter 20. Applications of grey wolf optimizer and its variants in wireless sensor networks - p. 377 30. Chapter 21. Comparative performance analysis of binary grey wolf optimizer and teaching-learning-based algorithm for the traveling salesman problem - p. 403 31. Chapter 22. A hybrid GWO-PSO algorithm for sliding surface design in sliding mode control of 6R robot manipulators - p. 413 32. Chapter 23. Applications of the grey wolf optimizer in water engineering and management - p. 447 33. Chapter 24. Optimizing enterprise information system security with the grey wolf optimizer: a novel approach to risk assessment and asset prioritization - p. 459 34. Chapter 25. Application of the grey wolf optimizer to enhance offshore microgrid power management and control including tidal power and desalination - p. 475 35. Chapter 26. A hybrid grey wolf optimizer and flying squirrel algorithm for single foundation design - p. 491 36. Chapter 27. A comparative analysis of the grey wolf optimizer and genetic algorithms - p. 507 37. Chapter 28. Enhancing hub-motor performance in electric vehicles: grey wolf multiobjective design optimizer to resolve performance trade-offs - p. 525 38. Chapter 29. Uncertainty and sensitivity evaluation in joint geophysical inversion using a hybrid grey wolf optimizer and particle swarm optimization algorithm - p. 555 39. Chapter 30. Optimized finite impulse response adaptive noise cancellation for improved photoplethysmography signal enhancement using the grey wolf optimizer - p. 577 40. Chapter 31. Multilabel feature selection using grey wolf optimizer and mutual information - p. 587 41. Chapter 32. Comparative analysis of grey wolf optimizer with other metaheuristics algorithms - p. 599 42. Chapter 33. Binary grey wolf optimizer for solving various resolving set problems - p. 627 43. Chapter 34. Enhanced autonomous vehicle navigation using a pure pursuit and grey wolf optimizer algorithm - p. 647 44. Chapter 35. Can the grey wolf optimizer solve daily life problems? - p. 659 45. Chapter 36. RCGWO: an improved grey wolf optimization algorithm using random weight and elite-based crossover for solving real world optimization problems - p. 683 46. An adaptive hybrid grey wolf optimizer and teaching-learning-based optimization algorithm for team formation optimization problems - p. 697 47. Chapter 38. A concurrent power distribution systems model for demand-supply scheduling using the grey wolf optimizer - p. 719 48. Glossary - p. 739 49. Index - p. 743
Grey Wolf Optimizer: A Pack of Solutions for Your Optimization Problems offers in-depth coverage of recent theoretical advancements in GWO, as well as several variants, improvements, and hybrid approaches developed to enhance the GWO's performance and adaptability. The use of generative AI to improve this algorithm and make it more generic is also explored, along with diverse applications across multiple fields to illustrate the practical utility and versatility of the methods presented. The book offers a deep dive into the algorithm's foundations and presents new developments to help researchers overcome common challenges.
It features numerous case studies and real-world examples across various fields, such as engineering, healthcare, finance, and environmental management. These applications demonstrate the versatility and effectiveness of the GWO in addressing complex, interdisciplinary challenges, making the content highly relevant and practical for readers. Written by some of the world’s most highly cited researchers in the field of artificial intelligence, algorithms, and machine learning, the book serves as an essential resource for researchers and practitioners interested in applying and developing the Grey Wolf Optimizer.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. iv 7. List of contributors - p. xxi 8. About the editor - p. xxv 9. Preface - p. xxvii 10. Chapter 1. Grey wolf optimizer: mathematical principles, computational complexity, convergence proof, and performance analysis - p. 1 11. Chapter 2. A multipopulation grey wolf optimizer with adaptive size reduction and solution exchange for multilevel thresholding in image segmentation - p. 27 12. Chapter 3. Theoretical foundations and methodologies of the grey wolf optimizer - p. 45 13. Chapter 4. In-depth mathematical analysis, dynamic behavior, and convergence proof of the grey wolf pptimizer - p. 67 14. Chapter 5. Binary grey wolf and football optimization algorithm for potato leaf disease image classification with deep learning - p. 103 15. Chapter 6. Bibliometric analysis of the grey wolf optimizer - p. 121 16. Chapter 7. An enhanced medical prediction model for diabetes using grey wolf optimizer-assisted wrapper-based algorithms - p. 149 17. Chapter 8. Performance analysis of the grey wolf optimizer and its variants in global search optimization - p. 165 18. Chapter 9. Optimal parameter prediction for photovoltaic modules using the grey wolf optimizer: a case study from a university-based photovoltaic station in Türkiye - p. 195 19. Chapter 10. Predictive bridge deterioration modeling with a hybrid stochastic paint optimizer, grey wolf optimizer, and extreme learning machine algorithm - p. 209 20. Chapter 11. Performance comparison of grey wolf optimizer-tuned controllers in functional electrical stimulation applications - p. 225 21. Chapter 12. Grey wolf optimizer algorithm for buckling load maximization of stiffened piezolaminated composite plates - p. 239 22. Chapter 13. Efficient application mapping onto three-dimensional network-on-chips using the grey wolf optimizer - p. 257 23. Chapter 14. Line sampling method based on grey wolf optimizer for structural reliability analysis - p. 275 24. Chapter 15. Applications and real-world case studies: the grey wolf optimizer for feature selection in intrusion detection systems - p. 289 25. Chapter 16. Optimizing solutions of fractional differential equations using the grey wolf optimizer and homotopy analysis method - p. 301 26. Chapter 17. Performance evaluation of the grey wolf optimizer against advanced differential evolution variants - p. 313 27. Chapter 18. Grey wolf optimizer enabled optimization of Ti6Al4V surface morphology and wear behavior - p. 327 28. Chapter 19. Budget constrained fairness aware incentive recommendation with uplift modeling using grey wolf optimization - p. 355 29. Chapter 20. Applications of grey wolf optimizer and its variants in wireless sensor networks - p. 377 30. Chapter 21. Comparative performance analysis of binary grey wolf optimizer and teaching-learning-based algorithm for the traveling salesman problem - p. 403 31. Chapter 22. A hybrid GWO-PSO algorithm for sliding surface design in sliding mode control of 6R robot manipulators - p. 413 32. Chapter 23. Applications of the grey wolf optimizer in water engineering and management - p. 447 33. Chapter 24. Optimizing enterprise information system security with the grey wolf optimizer: a novel approach to risk assessment and asset prioritization - p. 459 34. Chapter 25. Application of the grey wolf optimizer to enhance offshore microgrid power management and control including tidal power and desalination - p. 475 35. Chapter 26. A hybrid grey wolf optimizer and flying squirrel algorithm for single foundation design - p. 491 36. Chapter 27. A comparative analysis of the grey wolf optimizer and genetic algorithms - p. 507 37. Chapter 28. Enhancing hub-motor performance in electric vehicles: grey wolf multiobjective design optimizer to resolve performance trade-offs - p. 525 38. Chapter 29. Uncertainty and sensitivity evaluation in joint geophysical inversion using a hybrid grey wolf optimizer and particle swarm optimization algorithm - p. 555 39. Chapter 30. Optimized finite impulse response adaptive noise cancellation for improved photoplethysmography signal enhancement using the grey wolf optimizer - p. 577 40. Chapter 31. Multilabel feature selection using grey wolf optimizer and mutual information - p. 587 41. Chapter 32. Comparative analysis of grey wolf optimizer with other metaheuristics algorithms - p. 599 42. Chapter 33. Binary grey wolf optimizer for solving various resolving set problems - p. 627 43. Chapter 34. Enhanced autonomous vehicle navigation using a pure pursuit and grey wolf optimizer algorithm - p. 647 44. Chapter 35. Can the grey wolf optimizer solve daily life problems? - p. 659 45. Chapter 36. RCGWO: an improved grey wolf optimization algorithm using random weight and elite-based crossover for solving real world optimization problems - p. 683 46. An adaptive hybrid grey wolf optimizer and teaching-learning-based optimization algorithm for team formation optimization problems - p. 697 47. Chapter 38. A concurrent power distribution systems model for demand-supply scheduling using the grey wolf optimizer - p. 719 48. Glossary - p. 739 49. Index - p. 743
