Implementation of data envelopment analysis–genetic algorithm for improved performance assessment of transmission units in power industry Online publication date: Sat, 31-Jan-2015
by Ali Azadeh, Sayed Mohammad Asadzadeh, Somayeh Ahmadi Movaghar
International Journal of Industrial and Systems Engineering (IJISE), Vol. 8, No. 1, 2011
Abstract: This paper introduces a hybrid approach based on data envelopment analysis (DEA) and genetic algorithm (GA) for efficiency assessment and optimisation of electricity transmission units. The optimisation procedure in this paper is followed from two different viewpoints, that is, input efficiency and input cost. The result of DEA model is verified and validated by GA through Spearman correlation experiment. Moreover, the proposed approach uses the measure specific super-efficiency DEA model for sensitivity analysis to determine the critical inputs based on efficiency and cost allocation super-efficiency DEA model to determine the critical inputs based on cost. The unique feature of this study is utilisation of GA and DEA for assessment and optimisation of critical inputs from two different viewpoints: efficiency and cost. This is the first study that introduces a hybrid GA–DEA approach for performance assessment and optimisation of electricity transmission units. The superiority of the hybrid approach is shown for 32 transmission units.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Industrial and Systems Engineering (IJISE):
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 subs@inderscience.com