Applied Optimization and Swarm Intelligence
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Beschreibung
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.
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.
Includes prominent theories and recent developments of swarm intelligence methods Presents nature-inspired methods for efficient optimization and problem solving Serves as a reference resource for researchers and practitioners in academia and industry
Autor*in
Eneko Osaba
Themen in »Applied Optimization and Swarm Intelligence«
Nature-Inspired Algorithms Real-World Optimization Problems Evolutionary Computation Artificial Intelligence Computational Intelligence Swarm Intelligence