Derivative-free DIRECT-type Global Optimization: Applications and Software: SpringerBriefs in Optimization
Autor Linas Stripinis, Remigijus Paulavičiusen Limba Engleză Paperback – 28 noi 2023
Additionally, well-known practical problems from the literature are used to demonstrate the effectiveness of the developed algorithms. It is evident from these numerical results that the newly developed approaches are capable of solving problems with a wide variety of structures and complexity levels.
Since implementations of the algorithms are publicly available, this monograph is full of examples showing how to use them and how to choose the most efficient ones, depending on the nature of the problem being solved. Therefore, many specialists, students, researchers, engineers, economists, computer scientists, operations researchers, and others will find this book interesting and helpful.
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Specificații
ISBN-13: 9783031465390
ISBN-10: 3031465393
Pagini: 122
Ilustrații: X, 122 p. 43 illus., 39 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.2 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria SpringerBriefs in Optimization
Locul publicării:Cham, Switzerland
ISBN-10: 3031465393
Pagini: 122
Ilustrații: X, 122 p. 43 illus., 39 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.2 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria SpringerBriefs in Optimization
Locul publicării:Cham, Switzerland
Cuprins
Preface.- Chapter. 1. The Role of the DIRECT Algorithm in Derivative-Free Global Optimization.- Chapter. 2. Development of DIRECT-Type Algorithms.- Chapter. 3. Applications and Software.
Notă biografică
Linas Stripinis received a Ph.D. degree in informatics from Vilnius University, Lithuania, in 2021. He is currently a researcher at Vilnius University. His research interests include global optimization, optimization software, parallel computing, and machine learning techniques.
Remigijus Paulavičius received a Ph.D. degree in computer science from Vytautas Magnus University, Lithuania, in 2010. He was a Postdoctoral Researcher at Vilnius University, Lithuania, and a Research Associate at Imperial College London, UK. Since 2019, he has been a member of the Young Academy of the Lithuanian Academy of Sciences and a professor of informatics at the Institute of Data Science and Digital Technologies of Vilnius University. His research interests include global optimization, optimization software, parallel and quantum computing, and distributed ledger technologies.
Caracteristici
Maximizes reader insight into DIRECT-type optimization Presents techniques for accelerating DIRECT-type algorithms Demonstrates algorithm effectiveness through well-known practical problems