Tome Eftimov, Peter Korošec

Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms (eBook, PDF)

• Format: PDF

Produktbeschreibung

Produktdetails

• Verlag: Springer International Publishing
• Erscheinungstermin: 11. Juni 2022
• Englisch
• ISBN-13: 9783030969172
• Artikelnr.: 64174056

Autorenporträt

Inhaltsangabe

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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.

Rezensionen

"The book is well written and the presentation is easy to follow. It will be useful to students and researchers dealing with metaheuristic stochastic optimization, but also to practitioners who want to know how to choose the best methods to solve the real-life problems they face." (Marcin Anholcer, zbMATH 1504.90003, 2023)