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.Â
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.
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