A Meta-heuristic Optimization Tool for Simplified Protein Structure Prediction

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (124 download)

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Book Synopsis A Meta-heuristic Optimization Tool for Simplified Protein Structure Prediction by : Gurpreet Singh Lakha

Download or read book A Meta-heuristic Optimization Tool for Simplified Protein Structure Prediction written by Gurpreet Singh Lakha and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Meta-heuristic algorithms give a satisfactory solution of complex optimization problems in a reasonable time. They are among the most promising and successful optimization techniques. However, some problems are highly complex and require improved techniques. A careful analysis of the existing meta-heuristic algorithms and hybridization among them may facilitate the research in this direction. To test this hypothesis, the author of the thesis developed a computational tool using a few meta-heuristic algorithms where these algorithms can be analyzed in detail and possible hybridization among them can be created. As a case study, the tool is developed for simplified protein structure prediction. The proper working of the software is demonstrated by optimizing the two sets of standard benchmark sequences. Along with testing and analyzing meta-heuristic algorithms, the tool can be used for simplified protein structure prediction.

A Metaheuristic Approach to Protein Structure Prediction

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Publisher : Springer
ISBN 13 : 3319747754
Total Pages : 243 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis A Metaheuristic Approach to Protein Structure Prediction by : Nanda Dulal Jana

Download or read book A Metaheuristic Approach to Protein Structure Prediction written by Nanda Dulal Jana and published by Springer. This book was released on 2018-03-05 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces characteristic features of the protein structure prediction (PSP) problem. It focuses on systematic selection and improvement of the most appropriate metaheuristic algorithm to solve the problem based on a fitness landscape analysis, rather than on the nature of the problem, which was the focus of methodologies in the past. Protein structure prediction is concerned with the question of how to determine the three-dimensional structure of a protein from its primary sequence. Recently a number of successful metaheuristic algorithms have been developed to determine the native structure, which plays an important role in medicine, drug design, and disease prediction. This interdisciplinary book consolidates the concepts most relevant to protein structure prediction (PSP) through global non-convex optimization. It is intended for graduate students from fields such as computer science, engineering, bioinformatics and as a reference for researchers and practitioners.

Protein Structure Prediction Using Bee Colony Optimization Metaheuristic

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (115 download)

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Book Synopsis Protein Structure Prediction Using Bee Colony Optimization Metaheuristic by : R. Fonseca

Download or read book Protein Structure Prediction Using Bee Colony Optimization Metaheuristic written by R. Fonseca and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Contemporary Complex Systems and Their Dependability

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Publisher : Springer
ISBN 13 : 3319914464
Total Pages : 566 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Contemporary Complex Systems and Their Dependability by : Wojciech Zamojski

Download or read book Contemporary Complex Systems and Their Dependability written by Wojciech Zamojski and published by Springer. This book was released on 2018-05-26 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the Thirteenth International Conference on Dependability and Complex Systems (DepCoS-RELCOMEX), which took place in the Brunów Palace in Poland from 2nd to 6th July 2018. The conference has been organized at the Faculty of Electronics, Wrocław University of Science and Technology since 2006, and it continues the tradition of two other events: RELCOMEX (1977–89) and Microcomputer School (1985–95). The selection of papers in these proceedings illustrates the broad variety of topics that are investigated in dependability analyses of today’s complex systems. Dependability came naturally as a contemporary answer to new challenges in the reliability evaluation of these systems. Such systems cannot be considered only as structures (however complex and distributed) built on the basis of technical resources (hardware): their analysis must take into account a unique blend of interacting people (their needs and behaviours), networks (together with mobile properties, cloud-based systems) and a large number of users dispersed geographically and producing an unimaginable number of applications (working online). A growing number of research methods apply the latest advances in artificial intelligence (AI) and computational intelligence (CI). Today’s complex systems are really complex and are applied in numerous different fields of contemporary life.

Pattern Recognition in Bioinformatics

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Publisher : Springer Science & Business Media
ISBN 13 : 364216000X
Total Pages : 458 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Pattern Recognition in Bioinformatics by : Tjeerd M.H. Dijkstra

Download or read book Pattern Recognition in Bioinformatics written by Tjeerd M.H. Dijkstra and published by Springer Science & Business Media. This book was released on 2010-09-20 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Conference on Pattern Recognition in Bioinformatics, PRIB 2010, held in Nijmegen, The Netherlands, in September 2010. The 38 revised full papers presented were carefully reviewed and selected from 46 submissions. The field of bioinformatics has two main objectives: the creation and maintenance of biological databases and the analysis of life sciences data in order to unravel the mysteries of biological function. Computer science methods such as pattern recognition, machine learning, and data mining have a great deal to offer the field of bioinformatics.

Bio-Inspired Computing for Information Retrieval Applications

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Publisher : IGI Global
ISBN 13 : 1522523766
Total Pages : 411 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Bio-Inspired Computing for Information Retrieval Applications by : Acharjya, D.P.

Download or read book Bio-Inspired Computing for Information Retrieval Applications written by Acharjya, D.P. and published by IGI Global. This book was released on 2017-02-14 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growing presence of biologically-inspired processing has caused significant changes in data retrieval. With the ubiquity of these technologies, more effective and streamlined data processing techniques are available. Bio-Inspired Computing for Information Retrieval Applications is a key resource on the latest advances and research regarding current techniques that have evolved from biologically-inspired processes and its application to a variety of problems. Highlighting multidisciplinary studies on data processing, swarm-based clustering, and evolutionary computation, this publication is an ideal reference source for researchers, academics, professionals, students, and practitioners.

Advances in Modeling Agricultural Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 0387751815
Total Pages : 522 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Advances in Modeling Agricultural Systems by : Petraq Papajorgji

Download or read book Advances in Modeling Agricultural Systems written by Petraq Papajorgji and published by Springer Science & Business Media. This book was released on 2009-02-28 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Agriculture has experienced a dramatic change during the past decades. The change has been structural and technological. Structural changes can be seen in the size of current farms; not long ago, agricultural production was organized around small farms, whereas nowadays the agricultural landscape is dominated by large farms. Large farms have better means of applying new technologies, and therefore technological advances have been a driving force in changing the farming structure. New technologies continue to emerge, and their mastery and use in requires that farmers gather more information and make more complex technological choices. In particular, the advent of the Internet has opened vast opportunities for communication and business opportunities within the agricultural com- nity. But at the same time, it has created another class of complex issues that need to be addressed sooner rather than later. Farmers and agricultural researchers are faced with an overwhelming amount of information they need to analyze and synthesize to successfully manage all the facets of agricultural production. This daunting challenge requires new and complex approaches to farm management. A new type of agricultural management system requires active cooperation among multidisciplinary and multi-institutional teams and ref- ing of existing and creation of new analytical theories with potential use in agriculture. Therefore, new management agricultural systems must combine the newest achievements in many scientific domains such as agronomy, economics, mathematics, and computer science, to name a few.

Computational Structural Biology

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Publisher : World Scientific
ISBN 13 : 9812778780
Total Pages : 790 pages
Book Rating : 4.8/5 (127 download)

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Book Synopsis Computational Structural Biology by : Torsten Schwede

Download or read book Computational Structural Biology written by Torsten Schwede and published by World Scientific. This book was released on 2008 with total page 790 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive introduction to Landau-Lifshitz equations and Landau-Lifshitz-Maxwell equations, beginning with the work by Yulin Zhou and Boling Guo in the early 1980s and including most of the work done by this Chinese group led by Zhou and Guo since. The book focuses on aspects such as the existence of weak solutions in multi dimensions, existence and uniqueness of smooth solutions in one dimension, relations with harmonic map heat flows, partial regularity and long time behaviors. The book is a valuable reference book for those who are interested in partial differential equations, geometric analysis and mathematical physics. It may also be used as an advanced textbook by graduate students in these fields.

Metaheuristics in Machine Learning: Theory and Applications

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Publisher : Springer Nature
ISBN 13 : 3030705420
Total Pages : 765 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Metaheuristics in Machine Learning: Theory and Applications by : Diego Oliva

Download or read book Metaheuristics in Machine Learning: Theory and Applications written by Diego Oliva and published by Springer Nature. This book was released on with total page 765 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.

Ant Colony Optimization

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Publisher : MIT Press
ISBN 13 : 9780262042192
Total Pages : 324 pages
Book Rating : 4.0/5 (421 download)

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Book Synopsis Ant Colony Optimization by : Marco Dorigo

Download or read book Ant Colony Optimization written by Marco Dorigo and published by MIT Press. This book was released on 2004-06-04 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of the rapidly growing field of ant colony optimization that describes theoretical findings, the major algorithms, and current applications. The complex social behaviors of ants have been much studied by science, and computer scientists are now finding that these behavior patterns can provide models for solving difficult combinatorial optimization problems. The attempt to develop algorithms inspired by one aspect of ant behavior, the ability to find what computer scientists would call shortest paths, has become the field of ant colony optimization (ACO), the most successful and widely recognized algorithmic technique based on ant behavior. This book presents an overview of this rapidly growing field, from its theoretical inception to practical applications, including descriptions of many available ACO algorithms and their uses. The book first describes the translation of observed ant behavior into working optimization algorithms. The ant colony metaheuristic is then introduced and viewed in the general context of combinatorial optimization. This is followed by a detailed description and guide to all major ACO algorithms and a report on current theoretical findings. The book surveys ACO applications now in use, including routing, assignment, scheduling, subset, machine learning, and bioinformatics problems. AntNet, an ACO algorithm designed for the network routing problem, is described in detail. The authors conclude by summarizing the progress in the field and outlining future research directions. Each chapter ends with bibliographic material, bullet points setting out important ideas covered in the chapter, and exercises. Ant Colony Optimization will be of interest to academic and industry researchers, graduate students, and practitioners who wish to learn how to implement ACO algorithms.

Handbook of Heuristics

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Publisher : Springer
ISBN 13 : 9783319071237
Total Pages : 3000 pages
Book Rating : 4.0/5 (712 download)

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Book Synopsis Handbook of Heuristics by : Rafael Martí

Download or read book Handbook of Heuristics written by Rafael Martí and published by Springer. This book was released on 2017-01-16 with total page 3000 pages. Available in PDF, EPUB and Kindle. Book excerpt: Heuristics are strategies using readily accessible, loosely applicable information to control problem solving. Algorithms, for example, are a type of heuristic. By contrast, Metaheuristics are methods used to design Heuristics and may coordinate the usage of several Heuristics toward the formulation of a single method. GRASP (Greedy Randomized Adaptive Search Procedures) is an example of a Metaheuristic. To the layman, heuristics may be thought of as ‘rules of thumb’ but despite its imprecision, heuristics is a very rich field that refers to experience-based techniques for problem-solving, learning, and discovery. Any given solution/heuristic is not guaranteed to be optimal but heuristic methodologies are used to speed up the process of finding satisfactory solutions where optimal solutions are impractical. The introduction to this Handbook provides an overview of the history of Heuristics along with main issues regarding the methodologies covered. This is followed by Chapters containing various examples of local searches, search strategies and Metaheuristics, leading to an analyses of Heuristics and search algorithms. The reference concludes with numerous illustrations of the highly applicable nature and implementation of Heuristics in our daily life. Each chapter of this work includes an abstract/introduction with a short description of the methodology. Key words are also necessary as part of top-matter to each chapter to enable maximum search engine optimization. Next, chapters will include discussion of the adaptation of this methodology to solve a difficult optimization problem, and experiments on a set of representative problems.

Applications of Evolutionary Computation

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Publisher : Springer
ISBN 13 : 3030166929
Total Pages : 642 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Applications of Evolutionary Computation by : Paul Kaufmann

Download or read book Applications of Evolutionary Computation written by Paul Kaufmann and published by Springer. This book was released on 2019-04-10 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 22nd International Conference on Applications of Evolutionary Computation, EvoApplications 2019, held in Leipzig, Germany, in April 2019, co-located with the Evo*2019 events EuroGP, EvoCOP and EvoMUSART. The 44 revised full papers presented were carefully reviewed and selected from 66 submissions. They were organized in topical sections named: Engineering and Real World Applications; Games; General; Image and Signal Processing; Life Sciences; Networks and Distributed Systems; Neuroevolution and Data Analytics; Numerical Optimization: Theory, Benchmarks, and Applications; Robotics.

Library & Information Science Abstracts

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Publisher :
ISBN 13 :
Total Pages : 680 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Library & Information Science Abstracts by :

Download or read book Library & Information Science Abstracts written by and published by . This book was released on 2006 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Heuristics and Hyper-Heuristics

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Publisher : BoD – Books on Demand
ISBN 13 : 9535133837
Total Pages : 137 pages
Book Rating : 4.5/5 (351 download)

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Book Synopsis Heuristics and Hyper-Heuristics by : Javier Del Ser Lorente

Download or read book Heuristics and Hyper-Heuristics written by Javier Del Ser Lorente and published by BoD – Books on Demand. This book was released on 2017-08-30 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last few years, the society is witnessing ever-growing levels of complexity in the optimization paradigms lying at the core of different applications and processes. This augmented complexity has motivated the adoption of heuristic methods as a means to balance the Pareto trade-off between computational efficiency and the quality of the produced solutions to the problem at hand. The momentum gained by heuristics in practical applications spans further towards hyper-heuristics, which allow constructing ensembles of simple heuristics to handle efficiently several problems of a single class. In this context, this short book compiles selected applications of heuristics and hyper-heuristics for combinatorial optimization problems, including scheduling and other assorted application scenarios.

Metaheuristics in Water, Geotechnical and Transport Engineering

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Publisher : Newnes
ISBN 13 : 0123982960
Total Pages : 503 pages
Book Rating : 4.1/5 (239 download)

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Book Synopsis Metaheuristics in Water, Geotechnical and Transport Engineering by : Xin-She Yang

Download or read book Metaheuristics in Water, Geotechnical and Transport Engineering written by Xin-She Yang and published by Newnes. This book was released on 2012-09 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are often large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems. This book examines the latest developments of metaheuristics and their applications in water, geotechnical and transport engineering offering practical case studies as examples to demonstrate real world applications. Topics cover a range of areas within engineering, including reviews of optimization algorithms, artificial intelligence, cuckoo search, genetic programming, neural networks, multivariate adaptive regression, swarm intelligence, genetic algorithms, ant colony optimization, evolutionary multiobjective optimization with diverse applications in engineering such as behavior of materials, geotechnical design, flood control, water distribution and signal networks. This book can serve as a supplementary text for design courses and computation in engineering as well as a reference for researchers and engineers in metaheursitics, optimization in civil engineering and computational intelligence. Provides detailed descriptions of all major metaheuristic algorithms with a focus on practical implementation Develops new hybrid and advanced methods suitable for civil engineering problems at all levels Appropriate for researchers and advanced students to help to develop their work

Advanced Intelligent Systems for Sustainable Development (AI2SD’2018)

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Publisher : Springer
ISBN 13 : 3030118819
Total Pages : 290 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Advanced Intelligent Systems for Sustainable Development (AI2SD’2018) by : Mostafa Ezziyyani

Download or read book Advanced Intelligent Systems for Sustainable Development (AI2SD’2018) written by Mostafa Ezziyyani and published by Springer. This book was released on 2019-02-13 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers papers presented at the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2018), which was held in Tangiers, Morocco on 12–14 July 2018. It highlights how advanced intelligent systems have successfully been used to develop tools and techniques for modeling, prediction and decision support in connection with the environment. Though chiefly intended for researchers and practitioners in advanced intelligent systems for sustainable development, the book will also be of interest to those working in environment and the Internet of Things, environment and big data analysis, summarization, prediction, remote sensing & geo-information, geophysics, marine and coastal environments, and sensor networks for environment services.

Computational Science and Its Applications - ICCSA 2016

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Publisher : Springer
ISBN 13 : 3319421115
Total Pages : 601 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Computational Science and Its Applications - ICCSA 2016 by : Osvaldo Gervasi

Download or read book Computational Science and Its Applications - ICCSA 2016 written by Osvaldo Gervasi and published by Springer. This book was released on 2016-07-01 with total page 601 pages. Available in PDF, EPUB and Kindle. Book excerpt: The five-volume set LNCS 9786-9790 constitutes the refereed proceedings of the 16th International Conference on Computational Science and Its Applications, ICCSA 2016, held in Beijing, China, in July 2016. The 239 revised full papers and 14 short papers presented at 33 workshops were carefully reviewed and selected from 849 submissions. They are organized in five thematical tracks: computational methods, algorithms and scientific applications; high performance computing and networks; geometric modeling, graphics and visualization; advanced and emerging applications; and information systems and technologies.