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.

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.

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.

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.

Experimental Algorithms

Author: Ralf Klasing
Publisher: Springer
ISBN: 9783642308505
Release Date: 2012-05-28
Genre: Computers

This book constitutes the refereed proceedings of the 11th International Symposium on Experimental Algorithms, SEA 2012, held Bordeaux, France, in June 2012. The 31 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 64 submissions and present current research in the area of design, analysis, and experimental evaluation and engineering of algorithms, as well as in various aspects of computational optimization and its applications.

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.

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.

Algorithm Design for Networked Information Technology Systems

Author: Sumit Ghosh
Publisher: Springer Science & Business Media
ISBN: 9780387955445
Release Date: 2004
Genre: Computers

This book presents a scientific theory of Networked information technology (NIT) systems and logically develops the fundamental principles to help synthesize control and coordination algorithms for these systems. The algorithms described are asynchronous, distributed decision-making (ADDM) algorithms, and their characteristics include correct operation, robustness, reliability, scalability, stability, survivability, and performance. The book explains through case studies the conception, development, experimental testing, validation, and rigorous performance analysis of practical ADDM algorithms for real-world systems from a number of diverse disciplines. Practitioners, professionals, and advanced students will find the book an authoritative resource for the design and analysis of NIT systems algorithms. Topics and features: Develops a logical and practical approach to synthesizing ADDM algorithms for NIT systems Utilizes a scientific method to address the design & testing of NIT systems Incorporates case studies to clearly convey principles and real-world applications Provides a full context for engineers who design, build, deploy, maintain, and refine network-centric systems spanning many human activities Offers background on core principles underlying the nature of network-centric systems

Progress in Artificial Intelligence

Author: Pedro Barahona
Publisher: Springer Science & Business Media
ISBN: 9783540665489
Release Date: 1999-09-08
Genre: Computers

This book constitutes the refereed proceedings of the 9th Portuguese Conference on Artificial Intelligence, EPIA '99, held in Évora, Portugal in September 1999. The 23 revised full papers presented together with three invited full papers were carefully reviewed and selected from a total of 66 submissions from 17 different countries. The papers are organized in topical sections on constraint programming, natural language processing, spatial reasoning, logic programming, theorem proving, reasoning under uncertainty, multi-agent systems, abduction and revision, and genetic algorithms.

Foundations of Genetic Algorithms 2001 FOGA 6

Author: Worth Martin
Publisher: Elsevier
ISBN: 0080506879
Release Date: 2001-07-18
Genre: Computers

Foundations of Genetic Algorithms, Volume 6 is the latest in a series of books that records the prestigious Foundations of Genetic Algorithms Workshops, sponsored and organised by the International Society of Genetic Algorithms specifically to address theoretical publications on genetic algorithms and classifier systems. Genetic algorithms are one of the more successful machine learning methods. Based on the metaphor of natural evolution, a genetic algorithm searches the available information in any given task and seeks the optimum solution by replacing weaker populations with stronger ones. Includes research from academia, government laboratories, and industry Contains high calibre papers which have been extensively reviewed Continues the tradition of presenting not only current theoretical work but also issues that could shape future research in the field Ideal for researchers in machine learning, specifically those involved with evolutionary computation

Reliable Implementation of Real Number Algorithms Theory and Practice

Author: Peter Hertling
Publisher: Springer Science & Business Media
ISBN: 9783540855200
Release Date: 2008-08-28
Genre: Computers

This book constitutes the revised papers of the International Seminar on Reliable Implementation of Real Number Algorithms, held at Dagstuhl Castle, Germany, in January 2006. The Seminar was inteded to stimulate an exchange of ideas between the different communities that deal with the problem of reliable implementation of real number algorithms. Topics included formal proofs, software libraries, systems and platforms, as well as computational geometry and solid modelling.