Abstract
Presents the core and underlying principles and analysis of the different concepts associated with an emerging socio-inspired AI optimization tool referred to as Cohort Intelligence (CI)
Discusses in detail the Cohort Intelligence methodology as well as several modifications for solving a variety of problems
Demonstrates the ability of Cohort Intelligence methodology for solving several cases of the combinatorial problems such as Traveling Salesman Problem (TSP) and Knapsack Problem (KP)
Discusses in detail the Cohort Intelligence methodology as well as several modifications for solving a variety of problems
Demonstrates the ability of Cohort Intelligence methodology for solving several cases of the combinatorial problems such as Traveling Salesman Problem (TSP) and Knapsack Problem (KP)
Original language | English |
---|---|
Place of Publication | Cham Switzerland |
Publisher | Springer |
Number of pages | 140 |
Edition | 1st |
ISBN (Electronic) | 9783319442549 |
ISBN (Print) | 9783319830223, 9783319442532 |
DOIs | |
Publication status | Published - 2017 |
Externally published | Yes |
Publication series
Name | Intelligent Systems Reference Library |
---|---|
Publisher | Springer |
ISSN (Print) | 1868-4394 |
ISSN (Electronic) | 1868-4408 |