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,... More > 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.< Less
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,... More > 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.< Less
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,... More > 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.< Less
Recent years have seen a sharp increase in the application of evolutionary computation techniques within the domain of games. Situated at the forefront of this research tidal wave, Moshe Sipper and... More > his group have produced a plethora of award-winning results, in numerous games of diverse natures, evidencing the success and efficiency of evolutionary algorithms in general—and genetic programming in particular—at producing top-notch, human-competitive game strategies. From classic chess and checkers, through simulated car racing and virtual warfare, to mind-bending puzzles, this book serves both as a tour de force of the research landscape and as a guide to the application of evolutionary computation within the domain of games.< Less
Recent years have seen a sharp increase in the application of evolutionary computation techniques within the domain of games. Situated at the forefront of this research tidal wave, Moshe Sipper and... More > his group have produced a plethora of award-winning results, in numerous games of diverse natures, evidencing the success and efficiency of evolutionary algorithms in general—and genetic programming in particular—at producing top-notch, human-competitive game strategies. From classic chess and checkers, through simulated car racing and virtual warfare, to mind-bending puzzles, this book serves both as a tour de force of the research landscape and as a guide to the application of evolutionary computation within the domain of games.< Less
By Lionel Barnett. Doctoral thesis on how evolutionary search techniques such as Genetic Algorithms will operate on correlated fitness landscapes with large-scale neutrality.
[Some colour figures... More > here rendered in B&W] There is a free download version (3.1Mb pdf) available from tinyurl.com/zwyrx< Less
Many problems, especially those whose solution is multi-valued, have no way of finding the answer except by trying every combination. A classic example is the Travelling Salesman Problem or any... More > route-planning puzzle. As the number of values in the solution grows, so the number of trials must grow exponentially and soon take an unreasonable time to evaluate.
Yet other questions have only a best-fit or fuzzy solution. Search, especially for image or video, on Google and other search engines is one such, and now hugely important. A perennial challenge continues to be finding good investments in financial markets. And on a more leisurely note, search, rather than heuristics, may benefit computer game strategies and their artificial intelligence (AI) opponents.< Less
This book uses both best of breed open source software and the author's own libraries to introduce the reader to Artificial Intelligence (AI) technologies like genetic algorithms, neural networks,... More > expert systems, machine learning, and statistical natural language processing (NLP).< Less
This book uses both best of breed open source software and the author's own libraries to introduce the reader to Artificial Intelligence (AI) technologies like genetic algorithms, neural networks,... More > expert systems, machine learning, and statistical natural language processing (NLP).< Less
Research book (8.5" x 11"), focused along Alida Segal Ph.D. projects: 1)Hybrid Points-to Analysis for McCAT compiler; 2) Genetic Templates for face recognition; 3) Interactive Dialog.
