Author: Miguel Mujica Mota
Publisher: Springer
ISBN: 3319150332
Category : Computers
Languages : en
Pages : 323
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Book Description
Presenting techniques, case-studies and methodologies that combine the use of simulation approaches with optimization techniques for facing problems in manufacturing, logistics, or aeronautical problems, this book provides solutions to common industrial problems in several fields, which range from manufacturing to aviation problems, where the common denominator is the combination of simulation’s flexibility with optimization techniques’ robustness. Providing readers with a comprehensive guide to tackle similar issues in industrial environments, this text explores novel ways to face industrial problems through hybrid approaches (simulation-optimization) that benefit from the advantages of both paradigms, in order to give solutions to important problems in service industry, production processes, or supply chains, such as scheduling, routing problems and resource allocations, among others.
Author: Ghani, Imran
Publisher: IGI Global
ISBN: 1466660279
Category : Computers
Languages : en
Pages : 718
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Book Description
Advanced approaches to software engineering and design are capable of solving complex computational problems and achieving standards of performance that were unheard of only decades ago. Handbook of Research on Emerging Advancements and Technologies in Software Engineering presents a comprehensive investigation of the most recent discoveries in software engineering research and practice, with studies in software design, development, implementation, testing, analysis, and evolution. Software designers, architects, and technologists, as well as students and educators, will find this book to be a vital and in-depth examination of the latest notable developments within the software engineering community.
Author:
Publisher: ScholarlyEditions
ISBN: 1464990697
Category : Computers
Languages : en
Pages : 1934
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Book Description
Advances in Machine Learning Research and Application / 2012 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Machine Learning. The editors have built Advances in Machine Learning Research and Application / 2012 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Machine Learning in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Advances in Machine Learning Research and Application / 2012 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
Author: Lucio Tommaso De Paolis
Publisher: Springer Nature
ISBN: 303115553X
Category : Computers
Languages : en
Pages : 469
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Book Description
This two volume proceedings, LNCS 13445 and 13446, constitutes the refereed proceedings of the 9th International Conference on Augmented Reality, Virtual Reality, and Computer Graphics, XR Salento 2022, held in Lecce, Italy, July 6–8, 2022. Due to COVID-19 pandemic the conference was held as a hybrid conference. The 42 full and 16 short papers were carefully reviewed and selected from 84 submissions. The papers discuss key issues, approaches, ideas, open problems, innovative applications and trends in virtual reality, augmented reality, mixed reality, applications in cultural heritage, in medicine, in education, and in industry.
Author: Gabriel Kronberger
Publisher: CRC Press
ISBN: 042967953X
Category : Computers
Languages : en
Pages : 308
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Book Description
Symbolic regression (SR) is one of the most powerful machine learning techniques that produces transparent models, searching the space of mathematical expressions for a model that represents the relationship between the predictors and the dependent variable without the need of taking assumptions about the model structure. Currently, the most prevalent learning algorithms for SR are based on genetic programming (GP), an evolutionary algorithm inspired from the well-known principles of natural selection. This book is an in-depth guide to GP for SR, discussing its advanced techniques, as well as examples of applications in science and engineering. The basic idea of GP is to evolve a population of solution candidates in an iterative, generational manner, by repeated application of selection, crossover, mutation, and replacement, thus allowing the model structure, coefficients, and input variables to be searched simultaneously. Given that explainability and interpretability are key elements for integrating humans into the loop of learning in AI, increasing the capacity for data scientists to understand internal algorithmic processes and their resultant models has beneficial implications for the learning process as a whole. This book represents a practical guide for industry professionals and students across a range of disciplines, particularly data science, engineering, and applied mathematics. Focused on state-of-the-art SR methods and providing ready-to-use recipes, this book is especially appealing to those working with empirical or semi-analytical models in science and engineering.
Author: Fairouz Kamareddine
Publisher: Springer Nature
ISBN: 3030810976
Category : Computers
Languages : en
Pages : 263
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Book Description
This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Computer Mathematics, CICM 2021, held in Timisoara, Romania, in July 2021*. The 12 full papers, 7 system descriptions, 1 system entry, and 3 abstracts of invited papers presented were carefully reviewed and selected from a total of 38 submissions. The papers focus on advances in formalization, automatic theorem proving and learning, search and classification, teaching and geometric reasoning, and logic and systems, among other topics. * The conference was held virtually due to the COVID-19 pandemic.
Author: Muhammad Ali Babar
Publisher: Springer
ISBN: 3642151140
Category : Computers
Languages : en
Pages : 548
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Book Description
Welcome to the European Conference on Software Architecture (ECSA), which is the premier European software engineering conference. ECSA provides researchers and practitioners with a platform to present and discuss the most recent, innovative, and significant findings and experiences in the field of software architecture research and practice. The fourth edition of ECSA was built upon a history of a successful series of European workshops on software architecture held from 2004 through 2006 and a series of European software architecture conferences from 2007 through 2009. The last ECSA was merged with the 8th Working IEEE/IFIP Conference on Software Architecture (WICSA). Apart from the traditional technical program consisting of keynote talks, a main - search track, and a poster session, the scope of the ECSA 2010 was broadened to incorporate other tracks such as an industry track, doctoral symposium track, and a tool demonstration track. In addition, we also offered several workshops and tutorials on diverse topics related to software architecture. We received more than 100 submissions in the three main categories: full research and experience papers, emerging research papers, and research challenges papers. The conference attracted papers (co-)authored by researchers, practitioners, and academics from 30 countries (Algeria, Australia, Austria, Belgium, Brazil, Canada, Chile, China, Colombia, Czech Republic, Denmark, Finland, France, Germany, Hong Kong, I- land, India, Ireland, Israel, Italy, The Netherlands, Poland, Portugal, Romania, Spain, Sweden, Switzerland, Tunisia, United Kingdom, United States).
Author: Bernd Scholl
Publisher: vdf Hochschulverlag AG
ISBN: 3728139076
Category : Technology & Engineering
Languages : en
Pages : 234
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Book Description
As a result of the series of four research and debate symposia convened by ETH Zurich members with international academics and practitioners in the field of spatial planning, this book revolves around 'inspiring stories' that describe a wide variety of spatial problems as well as the planning mechanisms used to address these; in addition, 'fundamental topics' are provided to facilitate the understanding of certain planning processes illustrated by the practical cases.There are two main reasons behind choosing this method to introduce spatial planning. Firstly, the spatial planning profession is facing a great crisis. Experts are confronted with a quantum leap in the availability of information and the variety of visualisation and simulation instruments suitable for their analysis. While planners can certainly rely on the new technologies available to support the planning process, it seems to be that the nature of planning processes is being underestimated. A second motive for creating this book lies in the relationship between planners as experts and interested lay persons. The latter are usually fascinated with the physical interventions in space, whether these are great urban and architectural complexes or astonishing infrastructural projects. However, what seems to be forgotten, again, is the careful planning process that brought the interventions into being despite numerous problems of various kinds.Therefore, the key question is: How can planners bring this fascinating process and its results to the larger public and create a fuller understanding? This book intends to answer this question and create interest and curiosity for the field of spatial planning in a simple and clear manner. Introducing case descriptions of:• A new park in Milan• Storm water protection in Chicago• Redevelopment of an industrial brownfield in Attisholz etc.
Author: Rick Riolo
Publisher: Springer
ISBN: 3319160303
Category : Computers
Languages : en
Pages : 186
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Book Description
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: gene expression regulation, novel genetic models for glaucoma, inheritable epigenetics, combinators in genetic programming, sequential symbolic regression, system dynamics, sliding window symbolic regression, large feature problems, alignment in the error space, HUMIE winners, Boolean multiplexer function, and highly distributed genetic programming systems. Application areas include chemical process control, circuit design, financial data mining and bioinformatics. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Author: Vladimir Mityushev
Publisher: CRC Press
ISBN: 1351998757
Category : Mathematics
Languages : en
Pages : 202
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Book Description
Introduction to Mathematical Modeling and Computer Simulations is written as a textbook for readers who want to understand the main principles of Modeling and Simulations in settings that are important for the applications, without using the profound mathematical tools required by most advanced texts. It can be particularly useful for applied mathematicians and engineers who are just beginning their careers. The goal of this book is to outline Mathematical Modeling using simple mathematical descriptions, making it accessible for first- and second-year students.
