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Details for:
Eftimov T. Deep Statistical Comparison...Optimization Algor.2022
eftimov t deep statistical comparison optimization algor 2022
Type:
E-books
Files:
1
Size:
1.8 MB
Uploaded On:
June 22, 2022, 11:42 a.m.
Added By:
andryold1
Seeders:
2
Leechers:
0
Info Hash:
0BE889EAE8C0497058A7D307B42823DADE2EA2FA
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Textbook in PDF format This book explains what is required to make a more robust statistical comparison of the performance achieved by meta-heuristics. It does not explain how to develop a new single- or multi-objective meta-heuristic, or how to run it on a specific or a set of problem instances and collect the experimental data. It deals in which statistical analysis should be made once the experimental data is collected to obtain robust statistical outcomes. Introduction Meta-heuristic Stochastic Optimization Benchmarking Theory Introduction to Statistical Analysis Approaches to Statistical Comparisons Used for Stochastic Optimization Algorithms Deep Statistical Comparison in Multi-Objective Optimization Deep Statistical Comparison in Single-Objective Optimization DSCTool—A Web-Service-Based e-Learning Tool
Get This Torrent
Eftimov T. Deep Statistical Comparison...Optimization Algor.2022.pdf
1.8 MB
