Applications Of Combinatorial Optimization

Author: Vangelis Th. Paschos
Publisher: John Wiley & Sons
ISBN: 1119015243
Size: 18.56 MB
Format: PDF, Kindle
View: 4932
Download Read Online

Applications Of Combinatorial Optimization from the Author: Vangelis Th. Paschos. Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management. The three volumes of the Combinatorial Optimization series aim to cover a wide range of topics in this area. These topics also deal with fundamental notions and approaches as with several classical applications of combinatorial optimization. Concepts of Combinatorial Optimization, is divided into three parts: - On the complexity of combinatorial optimization problems, presenting basics about worst-case and randomized complexity; - Classical solution methods, presenting the two most-known methods for solving hard combinatorial optimization problems, that are Branch-and-Bound and Dynamic Programming; - Elements from mathematical programming, presenting fundamentals from mathematical programming based methods that are in the heart of Operations Research since the origins of this field.

Industrial Applications Of Combinatorial Optimization

Author: Gang Yu
Publisher: Springer
ISBN: 9780792350736
Size: 10.54 MB
Format: PDF, Kindle
View: 5875
Download Read Online

Industrial Applications Of Combinatorial Optimization from the Author: Gang Yu. Industries rely more and more on advanced technology. Accelerated computer evolution makes large-scale computation practical. Many enterprises are be ginning to benefit from more efficient allocation of resources and more effective planning, scheduling, manufacturing, and distribution by adopting state-of-the art decision support systems. Academics increasingly emphasize application driven research. All these forces have moved optimization from a pure class room and textbook terminology to an accepted tool in today's business world. This book chronicles and describes applications of combinatorial optimization in industry. A wide range of applications is included: manpower planning • production planning • job sequencing and scheduling • manufacturing layout design • facility planning • vehicle scheduling and routing • retail seasonal planning • I! space shuttle scheduling, and telecommunication network design . • The applications covered in this book comprise a representative set of industry sectors including electronics, airlines, manufacturing, tobacco, retail, telecom munication, defense, and livestock. These examples should encourage opera tions researchers and applied mathematicians by pointing out how the impor tance and practicality of optimization is starting to be realized by the manage ment of various organizations and how some pioneering developments in this field are beginning to bear fruit.

Combinatorial Optimization And Applications

Author: Weili Wu
Publisher: Springer Science & Business Media
ISBN: 3642174574
Size: 74.36 MB
Format: PDF, ePub
View: 6270
Download Read Online

Combinatorial Optimization And Applications from the Author: Weili Wu. This book constitutes the refereed proceedings of the 4th International Conference on Combinatorial Optimization and Applications, COCOA 2010, held in Kailua-Kona, HI, USA, in December 2010. The 49 revised full papers were carefully reviewed and selected from 108 submissions.

Combinatorial Optimization And Applications

Author: T-H. Hubert Chan
Publisher: Springer
ISBN: 3319487493
Size: 61.83 MB
Format: PDF, Mobi
View: 1782
Download Read Online

Combinatorial Optimization And Applications from the Author: T-H. Hubert Chan. This book constitutes the refereed proceedings of the 10th International Conference on Combinatorial Optimization and Applications, COCOA 2016, held in Hong Kong, China, in December 2016. The 60 full papers included in the book were carefully reviewed and selected from 122 submissions. The papers are organized in topical sections such as graph theory, geometric optimization, complexity and data structure, combinatorial optimization, and miscellaneous.

Parallel Combinatorial Optimization

Author: El-Ghazali Talbi
Publisher: John Wiley & Sons
ISBN: 0470053917
Size: 63.68 MB
Format: PDF, ePub
View: 1650
Download Read Online

Parallel Combinatorial Optimization from the Author: El-Ghazali Talbi. This text provides an excellent balance of theory and application that enables you to deploy powerful algorithms, frameworks, and methodologies to solve complex optimization problems in a diverse range of industries. Each chapter is written by leading experts in the fields of parallel and distributed optimization. Collectively, the contributions serve as a complete reference to the field of combinatorial optimization, including details and findings of recent and ongoing investigations.

Combinatorial Optimization In Communication Networks

Author: Maggie Xiaoyan Cheng
Publisher: Springer Science & Business Media
ISBN: 0387290265
Size: 31.31 MB
Format: PDF, ePub, Docs
View: 1979
Download Read Online

Combinatorial Optimization In Communication Networks from the Author: Maggie Xiaoyan Cheng. This book gives a comprehensive presentation of cutting-edge research in communication networks with a combinatorial optimization component. The objective of the book is to advance and promote the theory and applications of combinatorial optimization in communication networks. Each chapter is written by an expert dealing with theoretical, computational, or applied aspects of combinatorial optimization.

Handbook Of Combinatorial Optimization

Author: Ding-Zhu Du
Publisher: Springer Science & Business Media
ISBN: 1461303036
Size: 34.48 MB
Format: PDF
View: 3925
Download Read Online

Handbook Of Combinatorial Optimization from the Author: Ding-Zhu Du. Combinatorial (or discrete) optimization is one of the most active fields in the interface of operations research, computer science, and applied math ematics. Combinatorial optimization problems arise in various applications, including communications network design, VLSI design, machine vision, air line crew scheduling, corporate planning, computer-aided design and man ufacturing, database query design, cellular telephone frequency assignment, constraint directed reasoning, and computational biology. Furthermore, combinatorial optimization problems occur in many diverse areas such as linear and integer programming, graph theory, artificial intelligence, and number theory. All these problems, when formulated mathematically as the minimization or maximization of a certain function defined on some domain, have a commonality of discreteness. Historically, combinatorial optimization starts with linear programming. Linear programming has an entire range of important applications including production planning and distribution, personnel assignment, finance, alloca tion of economic resources, circuit simulation, and control systems. Leonid Kantorovich and Tjalling Koopmans received the Nobel Prize (1975) for their work on the optimal allocation of resources. Two important discover ies, the ellipsoid method (1979) and interior point approaches (1984) both provide polynomial time algorithms for linear programming. These algo rithms have had a profound effect in combinatorial optimization. Many polynomial-time solvable combinatorial optimization problems are special cases of linear programming (e.g. matching and maximum flow). In addi tion, linear programming relaxations are often the basis for many approxi mation algorithms for solving NP-hard problems (e.g. dual heuristics).