Ant Colony Optimization

Ant Colony Optimization PDF Author: Marco Dorigo
Publisher: MIT Press
ISBN: 9780262042192
Category : Computers
Languages : en
Pages : 324

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Book Description
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.

Mining the Web

Mining the Web PDF Author: Soumen Chakrabarti
Publisher: Morgan Kaufmann
ISBN: 1558607544
Category : Computers
Languages : en
Pages : 366

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Book Description
The definitive book on mining the Web from the preeminent authority.

SOFSEM 2002: Theory and Practice of Informatics

SOFSEM 2002: Theory and Practice of Informatics PDF Author: William I. Grosky
Publisher: Springer Science & Business Media
ISBN: 354000145X
Category : Computers
Languages : en
Pages : 298

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Book Description
This book constitutes the refereed proceedings of the 29th Conference on Current Trends in Theory and Practice of Informatics, SOFSEM 2002, held in Milovy, Czech Republic, in November 2002. The volume presents 10 invited lectures and the report on a panel discussion on GRID computing together with 11 revised full papers selected from 22 submissions. Among the topics covered are system design and testing related theory, distributed and parallel systems, type theory, multimedia, databases, computer vision, and soft computing.

Fuzzy Logic and the Internet

Fuzzy Logic and the Internet PDF Author: Vincenzo Loia
Publisher: Springer Science & Business Media
ISBN: 9783540201809
Category : Computers
Languages : en
Pages : 342

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Book Description
The unrestrainable explosion of the world wide web is not bereft of troubles and drawbacks, especially for inexpert users. Therefore there is a strong need of new research approaches in term of theories and systems. The main objective of this book is to provide new tools and ideas to enhance the power of the internet and search engines. Among these new research trends an important role is played by technologies that enable to process imprecise information, and to perform approximate reasoning capability. This book written by leading experts in their field demonstrates the ability of Fuzzy Technology to exploit the tolerance for imprecision to achieve tractability, robustness, and low solution costs and it shows that soft computing methods are a good choice to face complex Web problems.

Post-Innovation Performance

Post-Innovation Performance PDF Author: Luke Georghiou
Publisher: Springer
ISBN: 1349074551
Category : Business & Economics
Languages : en
Pages : 312

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Book Description


Post-Digital Print

Post-Digital Print PDF Author: Alessandro Ludovico
Publisher:
ISBN: 9789491677946
Category : Book industries and trade
Languages : en
Pages : 192

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Book Description
Digital technology is now a normal part of everyday life. The mutation of music and film into bits and bytes, downloads and streams is now taken for granted. For the world of book and magazine publishing however, this transformation has only just begun. Still, the vision of this transformation is far from new. For more than a century now, avant-garde artists, activists and technologists have been anticipating the development of networked and electronic publishing. Although in hindsight the reports of the death of paper were greatly exaggerated, electronic publishing has now certainly become a reality. How will the analog and the digital coexist in the post-digital age of publishing? How will they transition, mix and cross over? In this book, Alessandro Ludovico rereads the history of the avant-garde arts as a prehistory of cutting through the so-called dichotomy between paper and electronics. Ludovico is the editor and publisher of Neural, a magazine for critical digital culture and media arts. For more than 20 years now, he has been working at the cutting edge (and the outer fringes) of both print publishing and politically engaged digital art.

The Canadian Style

The Canadian Style PDF Author: Public Works and Government Services Canada Translation Bureau
Publisher: Dundurn
ISBN: 1554883172
Category : Reference
Languages : en
Pages : 313

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Book Description
The revised edition of The Canadian Style is an indispensable language guide for editors, copywriters, students, teachers, lawyers, journalists, secretaries and business people – in fact, anyone writing in the English language in Canada today. It provides concise, up-to-date answers to a host of questions on abbreviations, hyphenation, spelling, the use of capital letters, punctuation and frequently misused or confused words. It deals with letter, memo and report formats, notes, indexes and bibliographies, and geographical names. It also gives techniques for writing clearly and concisely, editing documents and avoiding stereotyping in communications. There is even an appendix on how to present French words in an English text.

Python: Real-World Data Science

Python: Real-World Data Science PDF Author: Dusty Phillips
Publisher: Packt Publishing Ltd
ISBN: 1786468417
Category : Computers
Languages : en
Pages : 1255

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Book Description
Unleash the power of Python and its robust data science capabilities About This Book Unleash the power of Python 3 objects Learn to use powerful Python libraries for effective data processing and analysis Harness the power of Python to analyze data and create insightful predictive models Unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics Who This Book Is For Entry-level analysts who want to enter in the data science world will find this course very useful to get themselves acquainted with Python's data science capabilities for doing real-world data analysis. What You Will Learn Install and setup Python Implement objects in Python by creating classes and defining methods Get acquainted with NumPy to use it with arrays and array-oriented computing in data analysis Create effective visualizations for presenting your data using Matplotlib Process and analyze data using the time series capabilities of pandas Interact with different kind of database systems, such as file, disk format, Mongo, and Redis Apply data mining concepts to real-world problems Compute on big data, including real-time data from the Internet Explore how to use different machine learning models to ask different questions of your data In Detail The Python: Real-World Data Science course will take you on a journey to become an efficient data science practitioner by thoroughly understanding the key concepts of Python. This learning path is divided into four modules and each module are a mini course in their own right, and as you complete each one, you'll have gained key skills and be ready for the material in the next module. The course begins with getting your Python fundamentals nailed down. After getting familiar with Python core concepts, it's time that you dive into the field of data science. In the second module, you'll learn how to perform data analysis using Python in a practical and example-driven way. The third module will teach you how to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis to more complex data types including text, images, and graphs. Machine learning and predictive analytics have become the most important approaches to uncover data gold mines. In the final module, we'll discuss the necessary details regarding machine learning concepts, offering intuitive yet informative explanations on how machine learning algorithms work, how to use them, and most importantly, how to avoid the common pitfalls. Style and approach This course includes all the resources that will help you jump into the data science field with Python and learn how to make sense of data. The aim is to create a smooth learning path that will teach you how to get started with powerful Python libraries and perform various data science techniques in depth.

Bayesian Inference in Statistical Analysis

Bayesian Inference in Statistical Analysis PDF Author: George E. P. Box
Publisher: John Wiley & Sons
ISBN: 111803144X
Category : Mathematics
Languages : en
Pages : 610

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Book Description
Its main objective is to examine the application and relevance of Bayes' theorem to problems that arise in scientific investigation in which inferences must be made regarding parameter values about which little is known a priori. Begins with a discussion of some important general aspects of the Bayesian approach such as the choice of prior distribution, particularly noninformative prior distribution, the problem of nuisance parameters and the role of sufficient statistics, followed by many standard problems concerned with the comparison of location and scale parameters. The main thrust is an investigation of questions with appropriate analysis of mathematical results which are illustrated with numerical examples, providing evidence of the value of the Bayesian approach.

Experimental Algorithms

Experimental Algorithms PDF Author: Panos M. Pardalos
Publisher: Springer
ISBN: 364220662X
Category : Computers
Languages : en
Pages : 469

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Book Description
This volume constitutes the refereed proceedings of the 10th International Symposium on Experimental Algorithms, SEA 2011, held in Kolimpari, Chania, Crete, Greece, in May 2011. The 36 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 83 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.