Quantum-inspired glowworm swarm optimisation and its application
by Hongyuan Gao; Yanan Du; Ming Diao
International Journal of Computing Science and Mathematics (IJCSM), Vol. 8, No. 1, 2017

Abstract: In order to solve discrete optimisation problem, a novel intelligence algorithm called as quantum-inspired glowworm swarm optimisation (QGSO) is proposed. By hybridising the glowworm swarm optimisation, quantum coding and quantum evolutionary theory, the quantum state and binary state of the quantum glowworms can be well evolved by simulated quantum rotation gate. The classical benchmark functions are used to test effectiveness of QGSO. The proposed QGSO algorithm is an effective discrete optimisation algorithm which has better convergent accuracy and speed. Then QGSO is used to resolve thinned array optimisation difficulties. Simulation results are provided to show that the proposed thinned array method based on QGSO is superior to the thinned array methods based on previous classical intelligence algorithms. The proposed thinned array method based on QGSO can search the global optimal solution of thinned array.

Online publication date: Tue, 21-Mar-2017

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 Computing Science and Mathematics (IJCSM):
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