Genetic algorithms have been used in science and engineering as
adaptive algorithms for solving practical problems and as
computational models of natural evolutionary systems. This brief,
accessible introduction describes some of the most interesting
research in the field and also enables readers to implement and
experiment with genetic algorithms on their own. It focuses in
depth on a small set of important and interesting topics --
particularly in machine learning, scientific modeling, and
artificial life -- and reviews a broad span of research, including
the work of Mitchell and her colleagues.
The descriptions of applications and modeling projects stretch
beyond the strict boundaries of computer science to include
dynamical systems theory, game theory, molecular biology, ecology,
evolutionary biology, and population genetics, underscoring the
exciting "general purpose" nature of genetic algorithms as search
methods that can be employed across disciplines.
"An Introduction to Genetic Algorithms" is accessible to
students and researchers in any scientific discipline. It includes
many thought and computer exercises that build on and reinforce the
reader's understanding of the text.
The first chapter introduces genetic algorithms and their
terminology and describes two provocative applications in detail.
The second and third chapters look at the use of genetic algorithms
in machine learning (computer programs, data analysis and
prediction, neural networks) and in scientific models (interactions
among learning, evolution, and culture; sexual selection;
ecosystems; evolutionary activity). Several approaches to the
theory of genetic algorithms are discussed in depth in the fourth
chapter. The fifth chapter takes up implementation, and the last
chapter poses some currently unanswered questions and surveys
prospects for the future of evolutionary computation.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!