This book provides a handbook of algorithmic recipes from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence that have been 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 in this book 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.
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Person Reviewed This Product
By Patrick Bohan
Jun 13, 2013
Fantastic collection of algorithms that use randomness to achieve better results than what could be achieved using exhaustive methods. The writing is a little dry and formal, but the information herein is fantastic. I wish there were more books like this available.
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