APOA with parabola model for directing orbits of chaotic systems
by Zhihua Cui; Shujing Fan; Jianchao Zeng; Zhongzhi Shi
International Journal of Bio-Inspired Computation (IJBIC), Vol. 5, No. 1, 2013

Abstract: Artificial plant optimisation algorithm (APOA) is a recent proposed evolutionary computation in which the growing process of one tree is mapped into the optimised problem. In APOA, three new operators: photosynthesis operator, phototropism operator and apical dominance operator are designed to simulate three important phenomenon. In this paper, a new variant of APOA in which the light responsive curve of photosynthesis operator is selected as parabola model. To test the performance, this variant is applied to directing orbits of chaotic system. Simulation results show it is effective.

Online publication date: Wed, 03-Apr-2013

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