This book gravitates on the prominent theories and recent
developments of swarm intelligence methods, and their application
in both synthetic and real-world optimization problems. The special
interest will be placed in those algorithmic variants where
biological processes observed in nature have underpinned the core
operators underlying their search mechanisms. In other words, the
book centers its attention on swarm intelligence and
nature-inspired methods for efficient optimization and problem
solving. The content of this book unleashes a great opportunity for
researchers, lecturers and practitioners interested in swarm
intelligence, optimization problems and artificial intelligence.
General
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