An elite opposition-flower pollination algorithm for a 0-1 knapsack problem
by Mohamed Abdel-Basset; Yongquan Zhou
International Journal of Bio-Inspired Computation (IJBIC), Vol. 11, No. 1, 2018

Abstract: The knapsack problem is one of the most studied combinatorial optimisation problems with various practical applications. In this paper, we apply an elite opposition-flower pollination algorithm (EFPA), to solve 0-1 knapsack problem, an NP-hard combinatorial optimisation problem. The performance of the proposed algorithm is tested against a set of benchmarks of knapsack problems. Computational experiments with a set of large-scale instances show that the EFPA can be an efficient alternative for solving 0-1 knapsack problems.

Online publication date: Wed, 28-Feb-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
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:

Username:        Password:          Forgotten your 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 subs@inderscience.com