Deep statistical comparison for meta-heuristic stochastic optimization algorithms / Tome Eftimov, Peter Korošec.
2022
QA76.9.A43
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Online Access
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Unlimited
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Authorized users
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Can lend chapters, not whole ebooks
Details
Title
Deep statistical comparison for meta-heuristic stochastic optimization algorithms / Tome Eftimov, Peter Korošec.
Author
Eftimov, Tome, author.
ISBN
9783030969172 (electronic bk.)
3030969177 (electronic bk.)
9783030969165 (print)
3030969177 (electronic bk.)
9783030969165 (print)
Published
Cham : Springer, 2022.
Language
English
Description
1 online resource (xvii, 133 pages) : illustrations (some color).
Item Number
10.1007/978-3-030-96917-2 doi
Call Number
QA76.9.A43
Dewey Decimal Classification
005.13
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed June 14, 2022).
Added Author
Korošec, Peter, 1977- author.
Series
Natural computing series.
Linked Resources
Online Access
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Online Resources > Ebooks
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Table of Contents
Introduction
Metaheuristic Stochastic Optimization
Benchmarking Theory
Introduction to Statistical Analysis
Approaches to Statistical Comparisons
Deep Statistical Comparison in Single-Objective Optimization
Deep Statistical Comparison in Multiobjective Optimization
DSCTool: A Web-Service-Based E-Learning Tool
Summary.
Metaheuristic Stochastic Optimization
Benchmarking Theory
Introduction to Statistical Analysis
Approaches to Statistical Comparisons
Deep Statistical Comparison in Single-Objective Optimization
Deep Statistical Comparison in Multiobjective Optimization
DSCTool: A Web-Service-Based E-Learning Tool
Summary.