Real World Algorithms

Author: Panos Louridas
Publisher: MIT Press
ISBN: 9780262035705
Release Date: 2017-03-17
Genre: Computers

An introduction to algorithms for readers with no background in advanced mathematics or computer science, emphasizing examples and real-world problems.

Variants of Evolutionary Algorithms for Real World Applications

Author: Raymond Chiong
Publisher: Springer Science & Business Media
ISBN: 9783642234248
Release Date: 2011-11-13
Genre: Computers

Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions for conventionally hard and dynamic problems within acceptable time, EAs have attracted interest from many researchers and practitioners in recent years. This book “Variants of Evolutionary Algorithms for Real-World Applications” aims to promote the practitioner’s view on EAs by providing a comprehensive discussion of how EAs can be adapted to the requirements of various applications in the real-world domains. It comprises 14 chapters, including an introductory chapter re-visiting the fundamental question of what an EA is and other chapters addressing a range of real-world problems such as production process planning, inventory system and supply chain network optimisation, task-based jobs assignment, planning for CNC-based work piece construction, mechanical/ship design tasks that involve runtime-intense simulations, data mining for the prediction of soil properties, automated tissue classification for MRI images, and database query optimisation, among others. These chapters demonstrate how different types of problems can be successfully solved using variants of EAs and how the solution approaches are constructed, in a way that can be understood and reproduced with little prior knowledge on optimisation.

Outdoor and Large Scale Real World Scene Analysis

Author: Frank Dellaert
Publisher: Springer
ISBN: 9783642340918
Release Date: 2012-09-22
Genre: Computers

This book constitutes the thoroughly refereed post-proceedings of the 15th International Workshop on Theoretic Foundations of Computer Vision, held as a Dagstuhl Seminar in Dagstuhl Castle, Germany, in June/July 2011. The 19 revised full papers presented were carefully reviewed and selected after a blind peer-review process. The topic of this Workshop was Outdoor and Large-Scale Real-World Scene Analysis, which covers all aspects, applications and open problems regarding the performance or design of computer vision algorithms capable of working in outdoor setups and/or large-scale environments. Developing these methods is important for driver assistance, city modeling and reconstruction, virtual tourism, telepresence, and motion capture.

Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

Author: L Padma Suresh
Publisher: Springer
ISBN: 9788132221265
Release Date: 2014-11-01
Genre: Computers

The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India. These research papers provide the latest developments in the broad area of use of artificial intelligence and evolutionary algorithms in engineering systems. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.

Algorithmen f r Dummies

Author: John Paul Mueller
Publisher: John Wiley & Sons
ISBN: 9783527809776
Release Date: 2017-09-18
Genre: Computers

Wir leben in einer algorithmenbestimmten Welt. Deshalb lohnt es sich zu verstehen, wie Algorithmen arbeiten. Das Buch prï¿1⁄2sentiert die wichtigsten Anwendungsgebiete fï¿1⁄2r Algorithmen: Optimierung, Sortiervorgï¿1⁄2nge, Graphentheorie, Textanalyse, Hashfunktionen. Zu jedem Algorithmus werden jeweils Hintergrundwissen und praktische Grundlagen vermittelt sowie Beispiele fï¿1⁄2r aktuelle Anwendungen gegeben. Fï¿1⁄2r interessierte Leser gibt es Umsetzungen in Python, sodass die Algorithmen auch verï¿1⁄2ndert und die Auswirkungen der Verï¿1⁄2nderungen beobachtet werden kï¿1⁄2nnen. Dieses Buch richtet sich an Menschen, die an Algorithmen interessiert sind, ohne eine Doktorarbeit zu dem Thema schreiben zu wollen. Wer es gelesen hat, versteht, wie wichtige Algorithmen arbeiten und wie man von dieser Arbeit beispielsweise bei der Entwicklung von Unternehmensstrategien profitieren kann.

Parallel Genetic Algorithms

Author: Gabriel Luque
Publisher: Springer Science & Business Media
ISBN: 9783642220838
Release Date: 2011-06-15
Genre: Computers

This book is the result of several years of research trying to better characterize parallel genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Readers can learn how to solve complex tasks by reducing their high computational times. Dealing with two scientific fields (parallelism and GAs) is always difficult, and the book seeks at gracefully introducing from basic concepts to advanced topics. The presentation is structured in three parts. The first one is targeted to the algorithms themselves, discussing their components, the physical parallelism, and best practices in using and evaluating them. A second part deals with the theory for pGAs, with an eye on theory-to-practice issues. A final third part offers a very wide study of pGAs as practical problem solvers, addressing domains such as natural language processing, circuits design, scheduling, and genomics. This volume will be helpful both for researchers and practitioners. The first part shows pGAs to either beginners and mature researchers looking for a unified view of the two fields: GAs and parallelism. The second part partially solves (and also opens) new investigation lines in theory of pGAs. The third part can be accessed independently for readers interested in applications. The result is an excellent source of information on the state of the art and future developments in parallel GAs.

Representations for Genetic and Evolutionary Algorithms

Author: Franz Rothlauf
Publisher: Physica
ISBN: 9783642880940
Release Date: 2012-12-06
Genre: Computers

In the field of genetic and evolutionary algorithms (GEAs), much theory and empirical study has been heaped upon operators and test problems, but problem representation has often been taken as given. This monograph breaks with this tradition and studies a number of critical elements of a theory of representations for GEAs and applies them to the empirical study of various important idealized test functions and problems of commercial import. The book considers basic concepts of representations, such as redundancy, scaling and locality and describes how GEAs'performance is influenced. Using the developed theory representations can be analyzed and designed in a theory-guided manner. The theoretical concepts are used as examples for efficiently solving integer optimization problems and network design problems. The results show that proper representations are crucial for GEAs'success.

Adaptive Signal Processing

Author: Jacob Benesty
Publisher: Springer Science & Business Media
ISBN: 9783662110287
Release Date: 2013-03-09
Genre: Technology & Engineering

For the first time, a reference on the most relevant applications of adaptive filtering techniques. Top researchers in the field contributed chapters addressing applications in acoustics, speech, wireless and networking, where research is still very active and open.

Modern Mathematical Models Methods and Algorithms for Real World Systems

Author: A. H. Siddiqi
Publisher: Anshan Pub
ISBN: 1904798640
Release Date: 2007
Genre: Mathematics

This is presentation of the diverse uses and applications of contemporary mathematics in real world systems. Distinguished international scholars have contributed a total of twenty chapters discussing practical applications of mathematical theory across a range of disciplines, from financial markets to DNA sequencing from meteorology to economics in agriculture. This book will e a boon to advanced mathematicians, whether academic or professional, who are looking for real world applications for their theories. It is an outstanding collection of articles on mathematics for the new millennium. Contents: Recent Developments in Frame Theory * Special Functions in Sampling and Wavelet Theory * Modeling, Numerics and Simulation of Bose-Einstein Condensation * GIG A Periodic Orbits for Very Wealky Coupled Tent and Logistic Discretized Maps * From Scale Invariance to Deterministic Chaos in DNA Sequences: A Key to the Understanding of the Organization of Gene Location and Orientation in the Human Genome * Update of Usual Mathematics Tools in a Context of Increasing Complexity: A Whole Strategy * Block Krylov Space Methods for Linear Systems with Multiple Right Hand Sides * Combining Direct and Iterative Methods for the Solution of Large Sparse Systems in Different Application Areas * A New Iterative Scheme for Strongly Nonlinear Variational Like Inclusions * A Direct Method for Solving Variational Problems Using Walsh Wavelet Packet and Error Estimates * Generalized Implicit Vector Quasi Variational Inequalities with Applications * Rotational Motion of a Satellite under the Influence of Aerodynamic Torque * Mathematical Model for Navier Strokes Equation in Stream Function Vorticity Form Using Finite Difference Method * Wavelet Packets * Multifractal Analysis of Seismic Data * Mathematical Methdos for Modeling Price Fluctuations of Financial Time Series * Numerical Experiments with Toeplitz Matrix Approximateion Methods * Climatological Time S

Bandit Algorithms for Website Optimization

Author: John White
Publisher: "O'Reilly Media, Inc."
ISBN: 9781449341336
Release Date: 2012-12-24
Genre: Computers

When looking for ways to improve your website, how do you decide which changes to make? And which changes to keep? This concise book shows you how to use Multiarmed Bandit algorithms to measure the real-world value of any modifications you make to your site. Author John Myles White shows you how this powerful class of algorithms can help you boost website traffic, convert visitors to customers, and increase many other measures of success. This is the first developer-focused book on bandit algorithms, which were previously described only in research papers. You’ll quickly learn the benefits of several simple algorithms—including the epsilon-Greedy, Softmax, and Upper Confidence Bound (UCB) algorithms—by working through code examples written in Python, which you can easily adapt for deployment on your own website. Learn the basics of A/B testing—and recognize when it’s better to use bandit algorithms Develop a unit testing framework for debugging bandit algorithms Get additional code examples written in Julia, Ruby, and JavaScript with supplemental online materials

Nature Inspired Algorithms for Optimisation

Author: Raymond Chiong
Publisher: Springer
ISBN: 9783642002670
Release Date: 2009-05-02
Genre: Mathematics

Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficiency is measured by their ability to find acceptable results within a reasonable amount of time, rather than an ability to guarantee the optimal solution. This volume 'Nature-Inspired Algorithms for Optimisation' is a collection of the latest state-of-the-art algorithms and important studies for tackling various kinds of optimisation problems. It comprises 18 chapters, including two introductory chapters which address the fundamental issues that have made optimisation problems difficult to solve and explain the rationale for seeking inspiration from nature. The contributions stand out through their novelty and clarity of the algorithmic descriptions and analyses, and lead the way to interesting and varied new applications.

Genetic Algorithms and Fuzzy Logic Systems

Author: Elie Sanchez
Publisher: World Scientific
ISBN: 9810224230
Release Date: 1997
Genre: Computers

Ever since fuzzy logic was introduced by Lotfi Zadeh in the mid-sixties and genetic algorithms by John Holland in the early seventies, these two fields widely been subjects of academic research the world over. During the last few years, they have been experiencing extremely rapid growth in the industrial world, where they have been shown to be very effective in solving real-world problems. These two substantial fields, together with neurocomputing techniques, are recognized as major parts of soft computing: a set of computing technologies already riding the waves of the next century to produce the human-centered intelligent systems of tomorrow; the collection of papers presented in this book shows the way. The book also contains an extensive bibliography on fuzzy logic and genetic algorithms.

Machine Learning Algorithms for Problem Solving in Computational Applications Intelligent Techniques

Author: Kulkarni, Siddhivinayak
Publisher: IGI Global
ISBN: 9781466618343
Release Date: 2012-06-30
Genre: Computers

Machine learning is an emerging area of computer science that deals with the design and development of new algorithms based on various types of data. Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques addresses the complex realm of machine learning and its applications for solving various real-world problems in a variety of disciplines, such as manufacturing, business, information retrieval, and security. This premier reference source is essential for professors, researchers, and students in artificial intelligence as well as computer science and engineering.

Real World Applications of Evolutionary Computing

Author: Stefano Cagnoni
Publisher: Springer Science & Business Media
ISBN: 9783540673538
Release Date: 2000-03-29
Genre: Computers

The increasingly active eld of Evolutionary Computation (EC) provides val- ble tools, inspired by the theory of natural selection and genetic inheritance, to problem solving, machine learning, and optimization in many real-world app- cations. Despite some early intuitions about EC, that can be dated back to the - vention of computers, and a better formal de nition of EC, made in the 1960s, the quest for real-world applications of EC only began in the late 1980s. The dramatic increase in computer performances in the last decade of the 20th c- tury gave rise to a positive feedback process: EC techniques became more and more applicable, stimulating the growth of interest in their study, and allowing, in turn, new powerful EC paradigms to be devised. In parallel with new theoretical results, the number of elds to which EC is being applied is increasing day by day, along with the complexity of applications and application domains. In particular, industrially relevant elds, such as signal and image processing, computer vision, pattern recognition, industrial control, telecommunication, scheduling and timetabling, and aerospace engineering are employing EC techniques to solve complex real-world problems.