Krill herd algorithm for optimum design of truss structures Online publication date: Mon, 31-Mar-2014
by Amir Hossein Gandomi; Siamak Talatahari; Faraz Tadbiri; Amir Hossein Alavi
International Journal of Bio-Inspired Computation (IJBIC), Vol. 5, No. 5, 2013
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.
Online publication date: Mon, 31-Mar-2014
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Bio-Inspired Computation (IJBIC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com