Name
Abstract | ||
|---|---|---|
Krill herd KH algorithm, as a new metaheuristic optimisation, is developed to solve truss optimisation problems. The KH methodology draws its analogy from the herding behaviour of krill individuals in nature. The objective function for the krill movement is mostly influenced by the least distances of each krill individual from food and from highest density of the herd. The new algorithm is examined by solving three truss design optimisation problems and its performance is further compared with various classical and advanced algorithms. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1504/IJBIC.2013.057191 | IJBIC |
Keywords | Field | DocType |
new metaheuristic optimisation,krill individual,truss optimisation problem,kh methodology,herding behaviour,new algorithm,krill movement,truss design optimisation problem,krill herd algorithm,optimum design,truss structure,krill herd kh algorithm,advanced algorithm,metaheuristic | Truss,Mathematical optimization,Krill herd algorithm,Krill herd,Krill,Herding,Mathematics,Herd,Metaheuristic | Journal |
Volume | Issue | ISSN |
5 | 5 | 1758-0366 |
Citations | PageRank | References |
11 | 0.53 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir Hossein Gandomi | 1 | 1836 | 110.25 |
| Siamak Talatahari | 2 | 381 | 16.76 |
| Faraz Tadbiri | 3 | 11 | 0.53 |
| Amir Hossein Alavi | 4 | 1016 | 45.59 |