A Visual-Based Approach for Evaluating Global Optimization Methods
| العنوان: | A Visual-Based Approach for Evaluating Global Optimization Methods |
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| المؤلفون: | Alexander Sysoyev, Evgeny Kozinov, Victor Gergel, Maria Kocheganova |
| المصدر: | Communications in Computer and Information Science ISBN: 9783030646158 RuSCDays |
| بيانات النشر: | Springer International Publishing, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Test optimization, Set (abstract data type), Mathematical optimization, Constrained optimization problem, Computer science, Visual presentation, Global optimization, Generator (mathematics), Test (assessment) |
| الوصف: | In order to evaluate efficiency of some global optimization method or compare efficiency of different methods, it is necessary to select a set of test problems, define comparison measures, and, finally, choose a way of visual presentation of the computational results. In this paper, a wide set of test optimization problems is considered including a new global constrained optimization problem generator (GCGen). Main performance measures and comparative criteria of efficiency are presented. The ways of visual presentation of computational results are suggested. |
| ردمك: | 978-3-030-64615-8 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::2c52d085bf667d40ee6f08bc03955e0c https://doi.org/10.1007/978-3-030-64616-5_12 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........2c52d085bf667d40ee6f08bc03955e0c |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783030646158 |
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