Metaheuristics For String Problems In Bio Informatics

Author : Christian Blum
Publisher : John Wiley & Sons
ISBN 13 : 1848218125
Total Pages : 243 pages
Book Rating : 4.23/5 ( download)

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Download or read book Metaheuristics for String Problems in Bio-informatics written by Christian Blum and published by John Wiley & Sons. This book was released on 2016-08-22 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: So-called string problems are abundant in bioinformatics and computational biology. New optimization problems dealing with DNA or protein sequences are constantly arising and researchers are highly in need of efficient optimization techniques for solving them. One obstacle for optimization practitioners is the atypical nature of these problems which require an interdisciplinary approach in order to solve them efficiently and accurately.

Author : Christian Blum
Publisher : John Wiley & Sons
ISBN 13 : 1119136814
Total Pages : 228 pages
Book Rating : 4.11/5 ( download)

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Download or read book Metaheuristics for String Problems in Bio-informatics written by Christian Blum and published by John Wiley & Sons. This book was released on 2016-08-16 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: So-called string problems are abundant in bioinformatics and computational biology. New optimization problems dealing with DNA or protein sequences are constantly arising and researchers are highly in need of efficient optimization techniques for solving them. One obstacle for optimization practitioners is the atypical nature of these problems which require an interdisciplinary approach in order to solve them efficiently and accurately.

Author : Elisa Pappalardo
Publisher : Springer Science & Business Media
ISBN 13 : 1461490537
Total Pages : 57 pages
Book Rating : 4.31/5 ( download)

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Download or read book Optimization Approaches for Solving String Selection Problems written by Elisa Pappalardo and published by Springer Science & Business Media. This book was released on 2013-10-09 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization Approaches for Solving String Selection Problems provides an overview of optimization methods for a wide class of genomics-related problems in relation to the string selection problems. This class of problems addresses the recognition of similar characteristics or differences within biological sequences. Specifically, this book considers a large class of problems, ranging from the closest string and substring problems, to the farthest string and substring problems, to the far from most string problem. Each problem includes a detailed description, highlighting both biological and mathematical features and presents state-of-the-art approaches. This Brief provides a quick introduction of optimization methods for string selection problems for young scientists and a detailed description of the mathematical and computational methods developed for experts in the field of optimization who want to deepen their understanding of the string selection problems. Researchers, practitioners and graduate students in the field of Computer Science, Operation Research, Mathematics, Computational Biology and Biomedicine will find this book useful. ​

Author : Maria José Blesa
Publisher : Springer Science & Business Media
ISBN 13 : 3642160530
Total Pages : 231 pages
Book Rating : 4.30/5 ( download)

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Download or read book Hybrid Metaheuristics written by Maria José Blesa and published by Springer Science & Business Media. This book was released on 2010-09-27 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Workshop on Hybrid Metaheuristics, HM 2010, held in Vienna, Austria, in October 2010. The 14 revised full papers presented were carefully reviewed and selected from 29 submissions.

Author : Teofilo F. Gonzalez
Publisher : CRC Press
ISBN 13 : 1351235400
Total Pages : 726 pages
Book Rating : 4.02/5 ( download)

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Download or read book Handbook of Approximation Algorithms and Metaheuristics written by Teofilo F. Gonzalez and published by CRC Press. This book was released on 2018-05-15 with total page 726 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Approximation Algorithms and Metaheuristics, Second Edition reflects the tremendous growth in the field, over the past two decades. Through contributions from leading experts, this handbook provides a comprehensive introduction to the underlying theory and methodologies, as well as the various applications of approximation algorithms and metaheuristics. Volume 1 of this two-volume set deals primarily with methodologies and traditional applications. It includes restriction, relaxation, local ratio, approximation schemes, randomization, tabu search, evolutionary computation, local search, neural networks, and other metaheuristics. It also explores multi-objective optimization, reoptimization, sensitivity analysis, and stability. Traditional applications covered include: bin packing, multi-dimensional packing, Steiner trees, traveling salesperson, scheduling, and related problems. Volume 2 focuses on the contemporary and emerging applications of methodologies to problems in combinatorial optimization, computational geometry and graphs problems, as well as in large-scale and emerging application areas. It includes approximation algorithms and heuristics for clustering, networks (sensor and wireless), communication, bioinformatics search, streams, virtual communities, and more. About the Editor Teofilo F. Gonzalez is a professor emeritus of computer science at the University of California, Santa Barbara. He completed his Ph.D. in 1975 from the University of Minnesota. He taught at the University of Oklahoma, the Pennsylvania State University, and the University of Texas at Dallas, before joining the UCSB computer science faculty in 1984. He spent sabbatical leaves at the Monterrey Institute of Technology and Higher Education and Utrecht University. He is known for his highly cited pioneering research in the hardness of approximation; for his sublinear and best possible approximation algorithm for k-tMM clustering; for introducing the open-shop scheduling problem as well as algorithms for its solution that have found applications in numerous research areas; as well as for his research on problems in the areas of job scheduling, graph algorithms, computational geometry, message communication, wire routing, etc.

Author : Venkatram Vishwanath
Publisher :
ISBN 13 :
Total Pages : 58 pages
Book Rating : 4.84/5 ( download)

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Download or read book Efficient Implementations of Combinatorial Algorithms for String Barcoding Problems in Bioinformatics written by Venkatram Vishwanath and published by . This book was released on 2003 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Roberto Battiti
Publisher : Springer
ISBN 13 : 3030053482
Total Pages : 487 pages
Book Rating : 4.82/5 ( download)

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Download or read book Learning and Intelligent Optimization written by Roberto Battiti and published by Springer. This book was released on 2018-12-31 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Conference on Learning and Intelligent Optimization, LION 12, held in Kalamata, Greece, in June 2018. The 28 full papers and 12 short papers presented have been carefully reviewed and selected from 62 submissions. The papers explore the advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and applications in optimization and machine learning.

Author : El-Ghazali Talbi
Publisher : John Wiley & Sons
ISBN 13 : 0470496908
Total Pages : 625 pages
Book Rating : 4.09/5 ( download)

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Download or read book Metaheuristics written by El-Ghazali Talbi and published by John Wiley & Sons. This book was released on 2009-05-27 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unified view of metaheuristics This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling. It presents the main design questions for all families of metaheuristics and clearly illustrates how to implement the algorithms under a software framework to reuse both the design and code. Throughout the book, the key search components of metaheuristics are considered as a toolbox for: Designing efficient metaheuristics (e.g. local search, tabu search, simulated annealing, evolutionary algorithms, particle swarm optimization, scatter search, ant colonies, bee colonies, artificial immune systems) for optimization problems Designing efficient metaheuristics for multi-objective optimization problems Designing hybrid, parallel, and distributed metaheuristics Implementing metaheuristics on sequential and parallel machines Using many case studies and treating design and implementation independently, this book gives readers the skills necessary to solve large-scale optimization problems quickly and efficiently. It is a valuable reference for practicing engineers and researchers from diverse areas dealing with optimization or machine learning; and graduate students in computer science, operations research, control, engineering, business and management, and applied mathematics.

Author : Peter J. Stuckey
Publisher : Springer Nature
ISBN 13 : 3030782301
Total Pages : 468 pages
Book Rating : 4.06/5 ( download)

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Download or read book Integration of Constraint Programming, Artificial Intelligence, and Operations Research written by Peter J. Stuckey and published by Springer Nature. This book was released on 2021-06-17 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume LNCS 12735 constitutes the papers of the 18th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2021, which was held in Vienna, Austria, in 2021. Due to the COVID-19 pandemic the conference was held online. The 30 regular papers presented were carefully reviewed and selected from a total of 75 submissions. The conference program included a Master Class on the topic "Explanation and Verification of Machine Learning Models".

Author : Giuseppe Nicosia
Publisher : Springer Nature
ISBN 13 : 3030375994
Total Pages : 798 pages
Book Rating : 4.97/5 ( download)

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Download or read book Machine Learning, Optimization, and Data Science written by Giuseppe Nicosia and published by Springer Nature. This book was released on 2020-01-03 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the post-conference proceedings of the 5th International Conference on Machine Learning, Optimization, and Data Science, LOD 2019, held in Siena, Italy, in September 2019. The 54 full papers presented were carefully reviewed and selected from 158 submissions. The papers cover topics in the field of machine learning, artificial intelligence, reinforcement learning, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.