1. Introduction 2. Overview of metaheuristics and their applications 3. Motivation for modifying metaheuristics 4. Aims and objectives of the book 5. Metaheuristic Algorithms and Their Limitations 6. Brief overview of classical metaheuristic algorithms 7. Limitations of classical metaheuristic algorithms 8.
Need for modifying metaheuristics 9. Review of Advanced Techniques for Modifying Metaheuristics 10. Review of literature on advanced techniques for modifying metaheuristics 11. Taxonomy of advanced techniques for modifying metaheuristics 12. Comparative analysis of advanced techniques for modifying metaheuristics 13. Evolutionary Algorithm-Based Modifications 14. Overview of evolutionary algorithms 15. Modifications based on population diversity 16.
Modifications based on parent selection 17. Modifications based on mutation and crossover operators 18. Experimental evaluation of evolutionary algorithm-based modifications 19. Swarm Intelligence-Based Modifications 20. Overview of swarm intelligence algorithms 21. Modifications based on communication strategies 22. Modifications based on individual behavior 23. Modifications based on collective behavior 24.
Experimental evaluation of swarm intelligence-based modifications 25. Hybrid Approaches for Modifying Metaheuristics 26. Overview of hybrid metaheuristics 27. Integration of advanced techniques into hybrid metaheuristics 28. Case studies on hybrid approaches for modifying metaheuristics 29. Applications of Modified Metaheuristics 30. Applications of modified metaheuristics in engineering and design optimization 31. Applications of modified metaheuristics in finance and economics 32.
Applications of modified metaheuristics in healthcare and medical diagnosis 33. Applications of modified metaheuristics in social sciences and humanities 34. Empirical Evaluation of Modified Metaheuristics 35. Experimental evaluation frameworks for modified metaheuristics 36. Performance evaluation measures for modified metaheuristics 37. Case studies on empirical evaluation of modified metaheuristics 38. Future Directions and Emerging Trends 39. Emerging trends in modifying metaheuristics 40.
Future directions and challenges in modifying metaheuristics 41. Potential applications and impact of modified metaheuristics.