國立虎尾科技大學 |

Optimization essentials = theory, tools, and applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Optimization essentials/ edited by Faiz Hamid.
其他題名:	theory, tools, and applications /
其他作者:	Hamid, Faiz.
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xxi, 798 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Mathematical optimization. -
電子資源:	https://doi.org/10.1007/978-981-99-5491-9
ISBN:	9789819954919

Optimization essentials = theory, tools, and applications /
Optimization essentialstheory, tools, and applications /[electronic resource] :edited by Faiz Hamid. - Singapore :Springer Nature Singapore :2024. - xxi, 798 p. :ill., digital ;24 cm. - International series in operations research & management science,v. 3532214-7934 ;. - International series in operations research & management science ;106..

The Many Guises of Linear Programming -- Mixed-Integer Programming Modeling Strategies for Scheduling-Based Optimization Problems -- Converting Weak to Strong MIP Formulations: A Practitioner's Guide -- Valid Inequalities for the Telecommunications Network Design Problem -- Modeling and Solution Approaches for Resource Assignment with Deployment Restrictions -- Modeling and Exact Solution Approaches for the Distance-based Critical Node and Edge Detection Problems -- Benders decomposition: a humanitarian operation with stochastic programming framework -- Delayed Column Generation: Solving large-scale optimization models from the airline industry -- Column Generation and Lagrangian Relaxation: Solving real-world crew (re)scheduling problems -- Dantzig-Wolfe Reformulation and Column Generation: Optimization in the Chemical Tanker Industry -- Volume Algorithm: Training Neural Networks and Solving Difficult Linear Programs -- Exact And Approximation Methods for Mixed Integer Non-LinearProgramming Problem -- Lagrangian Methods and Dynamic Programming-Based MIP Formulations for the Unit Commitment Problem -- Bilevel Optimization: Applications, Models and Solution Approaches -- Modeling and Solving Robust Chance-Constrained Binary Programs Using Sample Average Approximations -- Production Planning And Scheduling on Parallel Machines with Sequence Dependent Setup Times -- Facility Location Problem: A Case Study of School Consolidation -- Quantitative Models in Railway Operations Management -- Rail Yard Optimization -- Solving a Large-Scale Multi-Depot Vehicle Routing Problem Heuristically -- Effective Metaheuristic Algorithms for Platelet Collection Routing Problem -- NSGA-II and TOPSIS for a Multi-Objective Vehicle Routing Problem with Ecological Considerations -- Modelling and Solving Difficult-to-Represent Optimization Problems -- Coordinating a Behavioral Supply Chain under Revenue Sharing Contract.

This book explores recent developments and exciting challenges in operations research and mathematical optimization. It provides the following in a unified and carefully developed presentation: (a) novel problems that have arisen in the real-life optimization domain, highlighting the challenges in each problem; (b) significant methodological advances for solving existing optimization problems, with a special emphasis on large scale problems. The book assumes a decent understanding of matrix algebra, linear and integer programming, non-linear programming, computational complexity, and graph theory. Each chapter in this book starts with an introduction to the underlying optimization technique. It then explores a real-life case study to which the technique will be applied. The objective is to demonstrate how the underlying technique can be utilized to solve a challenging problem. The chapters offer details on how to formulate a research problem into a formal optimization model, reformulate or transform it (if required) to improve computational tractability, and apply necessary customizations to the optimization technique specific to the underlying problem to derive an optimal or near-optimal solution. The book covers various state-of-the-art methods (both exact and heuristics) and modelling approaches in sync with the current research trends, which are still not discussed in typical graduate-level textbooks. Applications covered in the book span the realms of resource planning, telecommunications, scheduling, logistics, education, environmental conservation, and many others. It is thus a valuable resource for post-graduate students of operations research and mathematical optimization. It also serves as a valuable reference for researchers who wish to explore various optimization techniques as part of their research methodologies. The learning from the book should enable the professionals to apply optimization theory and algorithms to their particular field of interest.

ISBN: 9789819954919

Standard No.: 10.1007/978-981-99-5491-9doiSubjects--Topical Terms:

527675
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

Optimization essentials = theory, tools, and applications /
LDR:05065nam a2200361 a 4500 001 1153587
003 DE-He213
005 20241228212249.0
006 m d
007 cr nn 008maaau
008 250619s2024 si s 0 eng d
020 $a 9789819954919 $q (electronic bk.)
020 $a 9789819954902 $q (paper)
024 7 $a 10.1007/978-981-99-5491-9 $2 doi
035 $a 978-981-99-5491-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.5
072 7 $a KJT $2 bicssc
072 7 $a KJMD $2 bicssc
072 7 $a BUS049000 $2 bisacsh
072 7 $a KJT $2 thema
072 7 $a KJMD $2 thema
082 0 4 $a 519.6 $2 23
090 $a QA402.5 $b .O6 2024
245 0 0 $a Optimization essentials $h [electronic resource] : $b theory, tools, and applications / $c edited by Faiz Hamid.
260 $a Singapore : $c 2024. $b Springer Nature Singapore : $b Imprint: Springer,
300 $a xxi, 798 p. : $b ill., digital ; $c 24 cm.
490 1 $a International series in operations research & management science, $x 2214-7934 ; $v v. 353
505 0 $a The Many Guises of Linear Programming -- Mixed-Integer Programming Modeling Strategies for Scheduling-Based Optimization Problems -- Converting Weak to Strong MIP Formulations: A Practitioner's Guide -- Valid Inequalities for the Telecommunications Network Design Problem -- Modeling and Solution Approaches for Resource Assignment with Deployment Restrictions -- Modeling and Exact Solution Approaches for the Distance-based Critical Node and Edge Detection Problems -- Benders decomposition: a humanitarian operation with stochastic programming framework -- Delayed Column Generation: Solving large-scale optimization models from the airline industry -- Column Generation and Lagrangian Relaxation: Solving real-world crew (re)scheduling problems -- Dantzig-Wolfe Reformulation and Column Generation: Optimization in the Chemical Tanker Industry -- Volume Algorithm: Training Neural Networks and Solving Difficult Linear Programs -- Exact And Approximation Methods for Mixed Integer Non-LinearProgramming Problem -- Lagrangian Methods and Dynamic Programming-Based MIP Formulations for the Unit Commitment Problem -- Bilevel Optimization: Applications, Models and Solution Approaches -- Modeling and Solving Robust Chance-Constrained Binary Programs Using Sample Average Approximations -- Production Planning And Scheduling on Parallel Machines with Sequence Dependent Setup Times -- Facility Location Problem: A Case Study of School Consolidation -- Quantitative Models in Railway Operations Management -- Rail Yard Optimization -- Solving a Large-Scale Multi-Depot Vehicle Routing Problem Heuristically -- Effective Metaheuristic Algorithms for Platelet Collection Routing Problem -- NSGA-II and TOPSIS for a Multi-Objective Vehicle Routing Problem with Ecological Considerations -- Modelling and Solving Difficult-to-Represent Optimization Problems -- Coordinating a Behavioral Supply Chain under Revenue Sharing Contract.
520 $a This book explores recent developments and exciting challenges in operations research and mathematical optimization. It provides the following in a unified and carefully developed presentation: (a) novel problems that have arisen in the real-life optimization domain, highlighting the challenges in each problem; (b) significant methodological advances for solving existing optimization problems, with a special emphasis on large scale problems. The book assumes a decent understanding of matrix algebra, linear and integer programming, non-linear programming, computational complexity, and graph theory. Each chapter in this book starts with an introduction to the underlying optimization technique. It then explores a real-life case study to which the technique will be applied. The objective is to demonstrate how the underlying technique can be utilized to solve a challenging problem. The chapters offer details on how to formulate a research problem into a formal optimization model, reformulate or transform it (if required) to improve computational tractability, and apply necessary customizations to the optimization technique specific to the underlying problem to derive an optimal or near-optimal solution. The book covers various state-of-the-art methods (both exact and heuristics) and modelling approaches in sync with the current research trends, which are still not discussed in typical graduate-level textbooks. Applications covered in the book span the realms of resource planning, telecommunications, scheduling, logistics, education, environmental conservation, and many others. It is thus a valuable resource for post-graduate students of operations research and mathematical optimization. It also serves as a valuable reference for researchers who wish to explore various optimization techniques as part of their research methodologies. The learning from the book should enable the professionals to apply optimization theory and algorithms to their particular field of interest.
650 0 $a Mathematical optimization. $3 527675
650 1 4 $a Operations Research and Decision Theory. $3 1366301
650 2 4 $a Quantitative Economics. $3 1366056
650 2 4 $a Optimization. $3 669174
700 1 $a Hamid, Faiz. $e editor. $1 https://orcid.org/0000-0002-3058-0152 $3 1397597
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a International series in operations research & management science ; $v 106. $3 744236
856 4 0 $u https://doi.org/10.1007/978-981-99-5491-9
950 $a Business and Management (SpringerNature-41169)