國立高雄大學圖資館 |

登入

回首頁

Derivative-free DIRECT-type global optimizationapplications and software /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Derivative-free DIRECT-type global optimizationby Linas Stripinis, Remigijus Paulavicius.
其他題名:	applications and software /
作者:	Stripinis, Linas.
其他作者:	Paulavicius, Remigijus.
出版者:	Cham :Springer Nature Switzerland :2023.
面頁冊數:	x, 122 p. :illustrations (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Nonconvex programming.
電子資源:	https://doi.org/10.1007/978-3-031-46537-6
ISBN:	9783031465376$q(electronic bk.)

Derivative-free DIRECT-type global optimizationapplications and software /
Stripinis, Linas.

Derivative-free DIRECT-type global optimizationapplications and software /[electronic resource] :by Linas Stripinis, Remigijus Paulavicius. - Cham :Springer Nature Switzerland :2023. - x, 122 p. :illustrations (chiefly color), digital ;24 cm. - SpringerBriefs in optimization,2191-575X. - SpringerBriefs in optimization..

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.

After providing an in-depth introduction to derivative-free global optimization with various constraints, this book presents new original results from well-known experts on the subject. A primary focus of this book is the well-known class of deterministic DIRECT (DIviding RECTangle)-type algorithms. This book describes a new set of algorithms derived from newly developed partitioning, sampling, and selection approaches in the box- and generally-constrained global optimization, including extensions to multi-objective optimization. DIRECT-type optimization algorithms are discussed in terms of fundamental principles, potential, and boundaries of their applicability. The algorithms are analyzed from various perspectives to offer insight into their main features. This explains how and why they are effective at solving optimization problems. As part of this book, the authors also present several techniques for accelerating the DIRECT-type algorithms through parallelization and implementing efficient data structures by revealing the pros and cons of the design challenges involved. A collection of DIRECT-type algorithms described and analyzed in this book is available in DIRECTGO, a MATLAB toolbox on GitHub. Lastly, the authors demonstrate the performance of the algorithms for solving a wide range of global optimization problems with various constraints ranging from a few to hundreds of variables. 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.

ISBN: 9783031465376$q(electronic bk.)

Standard No.: 10.1007/978-3-031-46537-6doiSubjects--Topical Terms:

522730
Nonconvex programming.

LC Class. No.: T57.817

Dewey Class. No.: 519.76

Derivative-free DIRECT-type global optimizationapplications and software /
LDR:03399nmm a2200337 a 4500 001 654070
003 DE-He213
005 20231127200727.0
006 m d
007 cr nn 008maaau
008 240426s2023 sz s 0 eng d
020 $a 9783031465376$q(electronic bk.)
020 $a 9783031465390$q(paper)
024 7 $a 10.1007/978-3-031-46537-6 $2 doi
035 $a 978-3-031-46537-6
040 $a GP $c GP
041 0 $a eng
050 4 $a T57.817
072 7 $a PBU $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PBU $2 thema
082 0 4 $a 519.76 $2 23
090 $a T57.817 $b .S918 2023
100 1 $a Stripinis, Linas. $3 964827
245 1 0 $a Derivative-free DIRECT-type global optimization $h [electronic resource] : $b applications and software / $c by Linas Stripinis, Remigijus Paulavicius.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2023.
300 $a x, 122 p. : $b illustrations (chiefly color), digital ; $c 24 cm.
490 1 $a SpringerBriefs in optimization, $x 2191-575X
505 0 $a 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.
520 $a After providing an in-depth introduction to derivative-free global optimization with various constraints, this book presents new original results from well-known experts on the subject. A primary focus of this book is the well-known class of deterministic DIRECT (DIviding RECTangle)-type algorithms. This book describes a new set of algorithms derived from newly developed partitioning, sampling, and selection approaches in the box- and generally-constrained global optimization, including extensions to multi-objective optimization. DIRECT-type optimization algorithms are discussed in terms of fundamental principles, potential, and boundaries of their applicability. The algorithms are analyzed from various perspectives to offer insight into their main features. This explains how and why they are effective at solving optimization problems. As part of this book, the authors also present several techniques for accelerating the DIRECT-type algorithms through parallelization and implementing efficient data structures by revealing the pros and cons of the design challenges involved. A collection of DIRECT-type algorithms described and analyzed in this book is available in DIRECTGO, a MATLAB toolbox on GitHub. Lastly, the authors demonstrate the performance of the algorithms for solving a wide range of global optimization problems with various constraints ranging from a few to hundreds of variables. 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.
650 0 $a Nonconvex programming. $3 522730
650 0 $a Algorithms. $3 184661
650 1 4 $a Optimization. $3 274084
650 2 4 $a Mathematical Software. $3 279828
700 1 $a Paulavicius, Remigijus. $3 676322
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in optimization. $3 558249
856 4 0 $u https://doi.org/10.1007/978-3-031-46537-6
950 $a Mathematics and Statistics (SpringerNature-11649)