TY  - GEN
AB  - This Volume discusses the underlying principles and analysis of the different concepts associated with an emerging socio-inspired optimization tool referred to as Cohort Intelligence (CI). CI algorithms have been coded in Matlab and are freely available from the link provided inside the book. The book demonstrates the ability of CI methodology for solving combinatorial problems such as Traveling Salesman Problem and Knapsack Problem in addition to real world applications from the healthcare, inventory, supply chain optimization and Cross-Border transportation. The inherent ability of handling constraints based on probability distribution is also revealed and proved using these problems. .
AU  - Kulkarni, Anand Jayant,
AU  - Krishnasamy, Ganesh,
AU  - Abraham, Ajith,
CN  - Q342
DO  - 10.1007/978-3-319-44254-9
DO  - doi
ID  - 777307
KW  - Computational intelligence.
KW  - Combinatorial optimization.
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-44254-9
N2  - This Volume discusses the underlying principles and analysis of the different concepts associated with an emerging socio-inspired optimization tool referred to as Cohort Intelligence (CI). CI algorithms have been coded in Matlab and are freely available from the link provided inside the book. The book demonstrates the ability of CI methodology for solving combinatorial problems such as Traveling Salesman Problem and Knapsack Problem in addition to real world applications from the healthcare, inventory, supply chain optimization and Cross-Border transportation. The inherent ability of handling constraints based on probability distribution is also revealed and proved using these problems. .
SN  - 9783319442549
SN  - 3319442546
T1  - Cohort intelligence :a socio-inspired optimization method /
TI  - Cohort intelligence :a socio-inspired optimization method /
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-44254-9
VL  - volume 114
ER  -