Abstract
Implementing an Artificial Intelligence algorithm is
difficult. Algorithm descriptions may be incomplete,
inconsistent, and distributed across a number of
papers, chapters and even websites. This can result in
varied interpretations of algorithms, undue attrition
of algorithms, and ultimately bad science. This book is
an effort to address these issues by providing a
handbook of algorithmic recipes drawn from the fields
of Metaheuristics, Biologically Inspired Computation
and Computational Intelligence, described in a
complete, consistent, and centralized manner. These
standardized descriptions were carefully designed to be
accessible, usable, and understandable. Most of the
algorithms described were originally inspired by
biological and natural systems, such as the adaptive
capabilities of genetic evolution and the acquired
immune system, and the foraging behaviors of birds,
bees, ants and bacteria. An encyclopedic algorithm
reference, this book is intended for research
scientists, engineers, students, and interested
amateurs. Each algorithm description provides a working
code example in the Ruby Programming Language.--Back
cover.
Links and resources
Tags
community