Kulkarni, Anand Jayant and Krishnasamy, Ganesh and Abraham, Ajith (2017) Cohort Intelligence: A Socio-inspired Optimization Method. Springer Nature, Switzerland. ISBN 978-3-319-44254-9
Full text not available from this repository.Abstract
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.
| Item Type: | Book |
|---|---|
| Subjects: | Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. Q Science > QA Mathematics > QA299.6-433 Analysis > Q334.A755 Artificial intelligence. Computational linguistics. Computer science. Q Science > QA Mathematics > QA8.9-QA10.3 Computer science. Artificial intelligence. Computational complexity. Data structures (Computer scienc. Mathematical Logic and Formal Languages |
| Divisions: | 03-Faculty of Engineering > 21001-Engineering Science (S3) |
| Depositing User: | Users 1741 not found. |
| Date Deposited: | 21 Oct 2019 04:36 |
| Last Modified: | 21 Oct 2019 04:36 |
| URI: | http://repository.unsri.ac.id/id/eprint/12203 |
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