Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
 
Articles by H. Aghighi
Total Records ( 1 ) for H. Aghighi
  A.R. Ebrahimipoor , A. Alimohamadi , A.A. Alesheikh and H. Aghighi
  Linear and nonlinear optimization problems can be solved using classical methods. However, the solutions become inefficient as the number of variables and limitations increase. Routing pipelines requires optimum solutions in which technical, economical and environmental parameters are taken into consideration. In this study capabilities of GIS and Genetic Algorithm have been exercised to specify the best route for constructing a pipeline from the Panzdahe Khordad dam to city of Qom, Qom located in central part of Iran. Hence, all the required information have been gathered and transformed to a GIS database. The layers have then been weighted and integrated to represent the cost layers. In order to evaluate the algorithm, three routes have been compared, namely the existing route, the routes defined by using Genetic Algorithm and the least cost path approaches. Results of the research have shown that the Genetic Algorithm and least-cost routes were the same in most parts. The Genetic Algorithm route proved to be 20% cost efficient than the existing routes. The cost reduction is mainly attributed to the decrease in the pipeline length as well as the number of bridges. This study showed that the Genetic Algorithm can be used as a reliable solution in problems related to route optimization.
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility