Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms by Tome Eftimov
The book isintendedfornewcomers to the field and experienced researchers alike. For newcomers, it coversthe basicsofoptimization and statistical analysis,familiarizing themwith thesubject matterbefore introducingthe Deep Statistical Comparison approach. Experienced researcherscan quickly move on to the content on newstatistical approaches.The book is dividedinto three parts:
Part I: Introduction to optimization, benchmarking, and statistical analysis Chapters 2-4.Part II: Deep Statistical Comparison of meta-heuristic stochastic optimization algorithms Chapters 5-7.
Part III: Implementation and applicationof DeepStatistical Comparison Chapter 8.