How Long to Read Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms

How Long Does it Take to Read Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms?

It takes the average reader 2 hours and 21 minutes to read Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms by Tome Eftimov

Assuming a reading speed of 250 words per minute. Learn more

Description

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: 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 application of Deep Statistical Comparison – Chapter 8.

How long is Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms?

Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms by Tome Eftimov is 141 pages long, and a total of 35,391 words.

This makes it 48% the length of the average book. It also has 43% more words than the average book.

How Long Does it Take to Read Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms Aloud?

The average oral reading speed is 183 words per minute. This means it takes 3 hours and 13 minutes to read Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms aloud.

What Reading Level is Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms?

Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms?

Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms by Tome Eftimov is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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