Mental Retardation - Le retard mental

This book provides a comprehensive update on multiple aspects of the wide-ranging topic of mental retardation. The opening part of the volume is dedicated to the definition of mental retardation and to the various classification systems, within an epid...

 Linear Genetic Programming

Linear Genetic Programming presents a variant of genetic programming (GP) that evolves imperative computer programs as linear sequences of instructions, in contrast to the more traditional functional expressions or syntax trees. Primary characteristics of...

 Fuzzy Modeling Tools for Data Mining and Knowledge Discovery

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As you'll discover, fuzzy systems are extraordinarily valuable ...

  Practical Genetic Algorithms

The use of genetic algorithms (GAs) to solve large and often complex computational problems has given rise to many new applications in a variety of disciplines. Practical Genetic Algorithms was the first introductory-level book on genetic algorithms to em...

 Genetic Structure and Selection in Subdivided Populations

Various approaches have been developed to evaluate the consequences of spatial structure on evolution in subdivided populations. This book is both a review and new synthesis of several of these approaches, based on the theory of spatial genetic structure....

 Genetic algorithms + data structures = evolution programs

Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with l...

 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...

  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 ...

 Foundations of Genetic Programming

Genetic programming (GP), one of the most advanced forms of evolutionary computation, has been highly successful as a technique for getting computers to automatically solve problems without having to tell them explicitly how. Since its inceptions more tha...

 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...

 Robust Control Systems with Genetic Algorithms

Robust Control Systems with Genetic Algorithms builds a bridge between genetic algorithms and the design of robust control systems. After laying a foundation in the basics of GAs and genetic programming, it demonstrates the power of these new tools for de...