Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
The Practical Handbook of Genetic Algorithms
The mathematics employed by genetic algorithms (GAs)are among the most exciting discoveries of the last few decades. But what exactly is a genetic algorithm? A genetic algorithm is a problem-solving method that uses genetics as its model of problem solving. It applies the rules of reproduction, gene crossover, and mutation to pseudo-organism
Modern Growth Theory
This book deals with Growth Theory, an important subject taught as a part of economic theory. Amongst other topics, it introduces the literature on growth and inequality as well as a major critique of growth economics by Charles Jones. These issues remained unaddressed in an earlier volume by the author, Growth Theory: Solow and His Modern Exponents (OUP 2005). Developed on the earlier work, the present volume focuses on: long run growth growth and infrastructure taxation policies for growth human capital formation a unified theoretical framework to help students travel from the world of old growth theory to modern growth theory intuitive as well as rigorous development of optimal control theory using undergraduate mathematical tools analysis of India's long term growth experience. For an interactive platform on updates and queries on the book and clarifications by the author, please visit the Discussion Forum: Modern Growth Theory, OUP, 2010 at this URL http:--economicsteaching.wordpress.com-2010-10-28-modern-growth-theory-
Evolutionary Algorithms in Engineering Applications
Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.
Immunological Computation
Clearly, nature has been very effective in creating organisms that are capable of protecting themselves against a wide variety of pathogens such as bacteria, fungi, and parasites. The powerful information-processing capabilities of the immune system, such as feature extraction, pattern recognition, learning, memory, and its distributive nature prov
Advances in Knowledge Discovery and Data Mining
ThePaci?c-AsiaConferenceonKnowledgeDiscoveryandDataMining(PAKDD) has been held every year since 1997. This year, the eighth in the series (PAKDD 2004) was held at Carlton Crest Hotel, Sydney, Australia, 26–28 May 2004. PAKDD is a leading international conference in the area of data mining. It p- vides an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition and automatic scienti?c discovery, data visualization, causal induction, and knowledge-based systems. The se...
Biologically Inspired Approaches to Advanced Information Technology
The evolution of the Internet has led us to the new era of the information infrastructure. As the information systems operating on the Internet are getting larger and more complicated, it is clear that the traditional approaches based on centralized mechanisms are no longer meaningful. One typical example can be found in the recent growing interest in a P2P (peer-to-peer) computing paradigm. It is quite different from the Web-based client-server systems, which adopt essentially centralized management mechanisms. The P2P computing environment has the potential to overcome bottlenecks in Web computing paradigm, but it introduces another difficulty, a scalability problem in terms of information...
S.D. Burman
SD, or Sachin Dev Burman, the man who gave Hindi film music its grammar, is perhaps the most enigmatic figure in Indian cine history. As the young scion of the Tripura royal family, SD struck out into the world of cinema and popular music. The early years were difficult, professionally and personally. His unconventional choice of profession and marriage to a 'commoner' caused his family to ostracize him, and his formal training was not enough to stave off rejections. This well-researched biography is both a tribute to a great artist, and a deep inquiry into what made his music great. Going well beyond merely listing his greatest songs, it explores hitherto unknown stories about the creation ...
Artificial Immune Systems
This book constitutes the refereed proceedings of the 6th International Conference on Artificial Immune Systems, ICARIS 2007, held in Santos, Brazil, August 2007. The papers are organized in topical sections on search and optimization, classification and clustering, anomaly detection and negative selection, robotics, control and electronics. Modeling papers, conceptual papers, and technical papers and general applications are also included.
Efficient Learning Machines
Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and biologically-inspired techniques. Mariette Awad and Rahul Khanna’s synthetic approach weaves together the theoretical exposition, design principles, and practical applications of efficient machine learning. Their experiential emphasis, expressed in their close analysis of sa...
Logic in the Theory and Practice of Lawmaking
This book presents the current state of the art regarding the application of logical tools to the problems of theory and practice of lawmaking. It shows how contemporary logic may be useful in the analysis of legislation, legislative drafting and legal reasoning concerning different contexts of law making. Elaborations of the process of law making have variously emphasised its political, social or economic aspects. Yet despite strong interest in logical analyses of law, questions remains about the role of logical tools in law making. This volume attempts to bridge that gap, or at least to narrow it, drawing together some important research problems—and some possible solutions—as seen thr...
