TY  - GEN
N2  - 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.
DO  - 10.1007/978-981-16-0662-5
DO  - doi
AB  - 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.
T1  - Applied optimization and swarm intelligence /
AU  - Osaba, Eneko,
AU  - Yang, Xin-She,
CN  - Q337.3
ID  - 1436717
KW  - Swarm intelligence.
KW  - Mathematical optimization.
KW  - Optimisation mathématique.
SN  - 9789811606625
SN  - 9811606625
TI  - Applied optimization and swarm intelligence /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-0662-5
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-0662-5
ER  -