This textbook provides a clear and logical introduction to the field,
covering the fundamental concepts, algorithms and practical
implementations behind efforts to develop systems that exhibit
intelligent behavior in complex environments. This enhanced third
edition has been fully revised and expanded with new content on deep
learning, scalarization methods, large-scale optimization algorithms,
and collective decision-making algorithms.
Features: provides supplementary material at an associated website;
contains numerous classroom-tested examples and definitions throughout
the text; presents useful insights into all that is necessary for the
successful application of computational intelligence methods; explains
the theoretical background underpinning proposed solutions to common
problems; discusses in great detail the classical areas of artificial
neural networks, fuzzy systems and evolutionary algorithms; reviews the
latest developments in the field, covering such topics as ant colony
optimization and probabilistic graphical models.