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Author: Ding-Zhu Du
Publisher: Springer Science & Business Media
Published: 2006-08-18
Total Pages: 395
ISBN-13: 0387238301
DOWNLOAD EBOOKThis is a supplementary volume to the major three-volume Handbook of Combinatorial Optimization set. It can also be regarded as a stand-alone volume presenting chapters dealing with various aspects of the subject in a self-contained way.
Author: E. Cela
Publisher: Springer Science & Business Media
Published: 2013-03-14
Total Pages: 296
ISBN-13: 1475727879
DOWNLOAD EBOOKThe quadratic assignment problem (QAP) was introduced in 1957 by Koopmans and Beckmann to model a plant location problem. Since then the QAP has been object of numerous investigations by mathematicians, computers scientists, ope- tions researchers and practitioners. Nowadays the QAP is widely considered as a classical combinatorial optimization problem which is (still) attractive from many points of view. In our opinion there are at last three main reasons which make the QAP a popular problem in combinatorial optimization. First, the number of re- life problems which are mathematically modeled by QAPs has been continuously increasing and the variety of the fields they belong to is astonishing. To recall just a restricted number among the applications of the QAP let us mention placement problems, scheduling, manufacturing, VLSI design, statistical data analysis, and parallel and distributed computing. Secondly, a number of other well known c- binatorial optimization problems can be formulated as QAPs. Typical examples are the traveling salesman problem and a large number of optimization problems in graphs such as the maximum clique problem, the graph partitioning problem and the minimum feedback arc set problem. Finally, from a computational point of view the QAP is a very difficult problem. The QAP is not only NP-hard and - hard to approximate, but it is also practically intractable: it is generally considered as impossible to solve (to optimality) QAP instances of size larger than 20 within reasonable time limits.
Author: Panos M. Pardalos
Publisher: American Mathematical Soc.
Published: 1994-01-01
Total Pages: 380
ISBN-13: 9780821870624
DOWNLOAD EBOOKThe methods described here include eigenvalue estimates and reduction techniques for lower bounds, parallelization, genetic algorithms, polyhedral approaches, greedy and adaptive search algorithms.
Author: Rainer Burkard
Publisher: SIAM
Published: 2012-10-31
Total Pages: 403
ISBN-13: 1611972221
DOWNLOAD EBOOKAssignment Problems is a useful tool for researchers, practitioners and graduate students. In 10 self-contained chapters, it provides a comprehensive treatment of assignment problems from their conceptual beginnings through present-day theoretical, algorithmic and practical developments. The topics covered include bipartite matching algorithms, linear assignment problems, quadratic assignment problems, multi-index assignment problems and many variations of these. Researchers will benefit from the detailed exposition of theory and algorithms related to assignment problems, including the basic linear sum assignment problem and its variations. Practitioners will learn about practical applications of the methods, the performance of exact and heuristic algorithms, and software options. This book also can serve as a text for advanced courses in areas related to discrete mathematics and combinatorial optimisation. The revised reprint provides details on a recent discovery related to one of Jacobi's results, new material on inverse assignment problems and quadratic assignment problems, and an updated bibliography.
Author: Hussein A Abbass
Publisher: World Scientific
Published: 2005-11-04
Total Pages: 409
ISBN-13: 9814478911
DOWNLOAD EBOOKArtificial life is now a recognized discipline of research with many important applications and software tools. However, many theoretical issues remain unresolved. This book brings together a cross-section of key developments in artificial life, which in turn gives us new insight into the theory of complex systems.The central ideas of the book surround genetics and evolution in an artificial life framework. Topics covered include maintenance of genetic diversity, hierarchical structures and stability of ecosystems. Underpinning these topics are key theoretical developments surrounding network complexity, the development of pattern languages for complex networks and a deeper understanding of the edge of chaos where complex systems live. Practical applications include optimization, gene regulatory networks, modeling the spread of disease and the evolution of ageing.The reader will gain an insight into the mathematical techniques at the core of artificial life and encounter a sufficient diversity of applications to stimulate new directions in their own field.
Author: Stefka Fidanova
Publisher: Springer
Published: 2019-06-21
Total Pages: 236
ISBN-13: 3030227235
DOWNLOAD EBOOKThis book presents new optimization approaches and methods and their application in real-world and industrial problems. Numerous processes and problems in real life and industry can be represented as optimization problems, including modeling physical processes, wildfire, natural hazards and metal nanostructures, workforce planning, wireless network topology, parameter settings for controlling different processes, extracting elements from video clips, and management of cloud computing environments. This book shows how to develop algorithms for these problems, based on new intelligent methods like evolutionary computations, ant colony optimization and constraint programming, and demonstrates how real-world problems arising in engineering, economics and other domains can be formulated as optimization problems. The book is useful for researchers and practitioners alike.
Author: R.v. Randow
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 402
ISBN-13: 3642465382
DOWNLOAD EBOOKAuthor: Panos M. Pardalos
Publisher: Springer Science & Business Media
Published: 2013-03-09
Total Pages: 317
ISBN-13: 1475731558
DOWNLOAD EBOOKNonlinear Assignment Problems (NAPs) are natural extensions of the classic Linear Assignment Problem, and despite the efforts of many researchers over the past three decades, they still remain some of the hardest combinatorial optimization problems to solve exactly. The purpose of this book is to provide in a single volume, major algorithmic aspects and applications of NAPs as contributed by leading international experts. The chapters included in this book are concerned with major applications and the latest algorithmic solution approaches for NAPs. Approximation algorithms, polyhedral methods, semidefinite programming approaches and heuristic procedures for NAPs are included, while applications of this problem class in the areas of multiple-target tracking in the context of military surveillance systems, of experimental high energy physics, and of parallel processing are presented. Audience: Researchers and graduate students in the areas of combinatorial optimization, mathematical programming, operations research, physics, and computer science.
Author: Somesh Jha
Publisher: Springer
Published: 2010-09-02
Total Pages: 528
ISBN-13: 364215512X
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the 13th International Symposium on Recent Advances in Intrusion Detection, RAID 2010, held in Ottawa, Canada, in September 2010. The 24 revised full papers presented together with 15 revised poster papers were carefully reviewed and selected from 102 submissions. The papers are organized in topical sections on network protection, high performance, malware detection and defence, evaluation, forensics, anomaly detection as well as web security.
Author: Sinan Melih Nigdeli
Publisher: Springer Nature
Published: 2020-11-16
Total Pages: 438
ISBN-13: 9811586039
DOWNLOAD EBOOKThis book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Sixth International Conference on Harmony Search, Soft Computing and Applications held at Istanbul University, Turkey, in July 2020. Harmony Search (HS) is one of the most popular metaheuristic algorithms, developed in 2001 by Prof. Joong Hoon Kim and Prof. Zong Woo Geem, that mimics the improvisation process of jazz musicians to seek the best harmony. The book consists of research articles on novel and newly proposed optimization algorithms; the theoretical study of nature-inspired optimization algorithms; numerically established results of nature-inspired optimization algorithms; and real-world applications of optimization algorithms and synthetic benchmarking of optimization algorithms.
