Data mining and knowledge discovery with Evolutionary Algorithms

This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an area of active research. In general, data mi...

 Evolutionnary Computation in Data Mining

The series Studies in Fuzziness and Soft Computing contains publications on various areas within so-called soft computing which include fuzzy sets, rough sets, neural networks, evolutionary computations, probabilistic and evidential reasoning, multivalued...

 On the Origin of Phyla

Owing its inspiration and title to On the Origin of Species, James W. Valentine's ambitious book synthesizes and applies the vast treasury of theory and research collected in the century and a half since Darwin's time. By investigating the origins of life...

 The robot's rebellion Finding meaning in the Age of Darwin

"The Robot's Rebellion is not quite what it sounds like. It is a book on how evolutionary forces and human cognition interact, sometimes to our advantage, and sometimes to our despair. It is a brilliant book showing how we can either harness evolutionary ...

 Evolutionary Computation A Unified Approach

Evolutionary computation, the use of evolutionary systems as computational processes for solving complex problems, is a tool used by computer scientists and engineers who want to harness the power of evolution to build useful new artifacts, by biologists ...

 Evolutionary Computation Toward a New Philosophy of Machine Intelligence

This Third Edition provides the latest tools and techniques that enable computers to learn The Third Edition of this internationally acclaimed publication provides the latest theory and techniques for using simulated evolution to achieve machine intell...

 Multiobjective Evolutionary Algorithms and Applications

Multiobjective Evolutionary Algorithms and Applications provides comprehensive treatment on the design of multiobjective evolutionary algorithms and their applications in domains covering areas such as control and scheduling. Emphasizing both the theoreti...

 Designing evolutionary algorithms for dynamic environments

The robust capability of Evolutionary Algorithms (EAs) to find solutions to difficult problems has permitted them to become the optimization and search techniques of choice for many practical static problems. Despite this success in many different enviro...

 Mathematical Population Genetics I. Theoretical Introduction

Population genetics occupies a central role in a number of important biological and social undertakings. It is fundamental to our understanding of evolutionary processes, of plant and animal breeding programs, and of various diseases of particular importa...

 Evolutionary Computations New Algorithms and their Applications to Evolutionary Robots

Evolutionary computation, a broad field that includes genetic algorithms, evolution strategies, and evolutionary programming, has proven to offer well-suited techniques for industrial and management tasks - therefore receiving considerable attention from ...

 Evolutionary robotics The biology, intelligence, and technology of self-organizing machines

Evolutionary robotics is a new technique for the automatic creation of autonomous robots. Inspired by the Darwinian principle of selective reproduction of the fittest, it views robots as autonomous artificial organisms that develop their own skills in clo...

 Advances in Evolutionary Computing Theory and Applications

This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. 23 articles are dea...

 Evolutionary Computation 1 Basic Algorithm and Operators

This volume discusses the basic ideas which underlie the main paradigms of evolutionary algorithms, evolution strategies, evolutionary programming, genetic programming. Contents PART 1 WHY EVOLUTIONARY COMPUTATION? 1. Introduction to evolutionary com...

 Adobe Photoshop Master Class The Essential Guide to Revisioning Photography

Adobe Photoshop Master Class: John Paul Caponigro, 2nd Edition is no ordinary book on Photoshop. It is a true master class by renowned artist and photographer John Paul Caponigro, in which he shares his insights and discoveries as a visual artist. Althoug...

 Introduction to Evolutionary Computing

Written for lecturers, graduate and undergraduate students, this textbook contains a thorough introduction to evolutionary computing (EC), including the basics of all traditional variants (evolution strategies, evolutionary programming, genetic algorithms...

  Applied Evolutionary Algorithms in Java

Genetic algorithms provide a powerful range of methods for solving complex engineering search and optimization algorithms. Their power can also lead to difficulty for new researchers and students who wish to apply such evolution-based methods. Applied Ev...

 Foundations of genetic algorithms - Volume 7

Foundations of Genetic Algorithms, Volume 7 (FOGA-7 is a collection of 22 papers written by the field's leading researchers, representing the most current, state-of-the-art research both in GAs and in evolutionary computation theory in general. Much more ...

 Evolutionary Computation 2 Advanced Algorithms and Operators

This volume expands upon the basic ideas underlying evolutionary algorithms. The focus is on fitness evaluation, constraint-handling techniques, population structures, advanced techniques in evolutionary computation and implementation of evolutionary algo...

 Advanced Fuzzy Systems Design and Applications

This book presents a variety of recently developed methods for generating fuzzy rules from data with the help of neural networks and evolutionary algorithms. Special efforts have been put on dealing with knowledge incorporation into neural and evolutionar...

 Representations for genetic and evolutionary algorithms

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...