Resources programming model of government investment project group based on improved firefly algorithm
by Yunna Wu; Xinli Xiao; Zongyun Song
International Journal of Technology, Policy and Management (IJTPM), Vol. 17, No. 2, 2017

Abstract: Government investment project group (GIPG) plays an important role in increasing the welfare of the public, so the public is concerned about its investment efficiency, which can be reflected by resource programming level of GIPG. Previous research pays little attention to this field, and several problems exist: ordinary resource programming procedure is directly adopted; project management targets only focus on cost and schedule and the proposed optimisation algorithms are inapplicable. Hence, this research is carried out as follows: first, resource programming procedure of GIPG is organised. Second, the strategic targets of GIPG are determined based on the national, regional planning, and the projects targets are determined based on strategic targets, which ensure the coherence of national planning and projects targets. Third, the newly proposed optimisation algorithm-Gaussian firefly algorithm (GFA) is described and its effectiveness is validated through comparison with other algorithms. Finally, a case study demonstrates the effectiveness of resource programming method of GIPG.

Online publication date: Tue, 13-Jun-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 Technology, Policy and Management (IJTPM):
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