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...
(paru le 10/01/2007, consulté 4260 fois)
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...
(paru le 27/06/2005, consulté 3783 fois)
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...
(paru le 01/07/2004, consulté 5221 fois)
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...
(paru le 23/06/2004, consulté 4064 fois)
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...
(paru le 30/03/1996, consulté 5475 fois)
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...
(paru le 16/12/2002, consulté 5053 fois)
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...
(paru le 07/02/2003, consulté 5333 fois)
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...
(paru le 16/09/2003, consulté 3130 fois)
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...
(paru le 15/05/2003, consulté 3666 fois)
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 ...
(paru le 15/10/2003, consulté 3620 fois)
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...
(paru le 26/02/2002, consulté 3726 fois)
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...
(paru le 07/02/2003, consulté 4376 fois)
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...
(paru le 10/07/2002, consulté 4109 fois)
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...
(paru le 28/11/2002, consulté 5315 fois)
Algorithmes génétiques et réseaux de neurones
Jean-Michel Renders met l'accent sur deux métaphores
biologiques, les réseaux de neurones artificiels et les
algorithmes génétiques, qui ont la faculté de se
reconfigurer de façon incrémentale et robuste face à un
environnement inconnu. Ces systèmes adapt...
(paru le 30/04/1995, consulté 7572 fois)