[ CourseLala Com ] Deep Statistical Comparison For Meta-heuristic Stochastic Optimization Algorithms (True PDF,EPUB)

[ CourseWikia.com ] Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms (True PDF,EPUB)



If You Need More Stuff, kindly Visit and Support Us -->> https://CourseWikia.com







English | 2022 | ISBN: 3030969169 | 141 pages | True (PDF,EPUB) | 13.69 MB



Focusing on comprehensive comparisons of the performance of stochastic optimization algorithms, this book provides an overview of the current approaches used to analyze algorithm performance in a range of common scenarios, while also addressing issues that are often overlooked. In turn, it shows how these issues can be easily avoided by applying the principles that have produced Deep Statistical Comparison and its variants. The focus is on statistical analyses performed using single-objective and multi-objective optimization data. At the end of the book, examples from a recently developed web-service-based e-learning tool (DSCTool) are presented. The tool provides users with all the functionalities needed to make robust statistical comparison analyses in various statistical scenarios.

The book is intended for newcomers to the field and experienced researchers alike. For newcomers, it covers the basics of optimization and statistical analysis, familiarizing them with the subject matter before introducing the Deep Statistical Comparison approach. Experienced researchers can quickly move on to the content on new statistical approaches. The book is divided into three parts



If You Need More Stuff, kindly Visit and Support Us -->> https://FreeCourseWeb.com



Get Latest Tips and Tricks and Support Us -->> https://DevCourseWeb.com



We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...