دوره 1، شماره 1 - ( 12-1389 )                   جلد 1 شماره 1 صفحات 71-47 | برگشت به فهرست نسخه ها

XML English Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Madadgar S, Afshar A. FORCED WATER MAIN DESIGN MIXED ANT COLONY OPTIMIZATION. IJOCE 2011; 1 (1) :47-71
URL: http://ijoce.iust.ac.ir/article-1-7-fa.html
FORCED WATER MAIN DESIGN MIXED ANT COLONY OPTIMIZATION. عنوان نشریه. 1389; 1 (1) :47-71

URL: http://ijoce.iust.ac.ir/article-1-7-fa.html


چکیده:   (23921 مشاهده)
Most real world engineering design problems, such as cross-country water mains, include combinations of continuous, discrete, and binary value decision variables. Very often, the binary decision variables associate with the presence and/or absence of some nominated alternatives or project’s components. This study extends an existing continuous Ant Colony Optimization (ACO) algorithm to simultaneously handle mixed-variable problems. The approach provides simultaneous solution to a binary value problem with both discrete and continuous variables to locate and size design components of the proposed system. This paper shows how the existing continuous ACO algorithm may be revised to cope with mixed-variable search spaces with binary variables. Performance of the proposed version of the ACO is tested on a set of mathematical benchmark problems followed by a highly nonlinear forced water main optimization problem. Comparing with few other optimization algorithms, the proposed optimization method demonstrates satisfactory performance in locating good near optimal solutions.
متن کامل [PDF 176 kb]   (6949 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: Optimal design
دریافت: 1390/8/2 | انتشار: 1389/12/24

ارسال نظر درباره این مقاله : نام کاربری یا پست الکترونیک شما:
CAPTCHA

بازنشر اطلاعات
Creative Commons License این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است.

کلیه حقوق این وب سایت متعلق به دانشگاه علم و صنعت ایران می باشد.

طراحی و برنامه نویسی : یکتاوب افزار شرق

© 2024 CC BY-NC 4.0 | Iran University of Science & Technology

Designed & Developed by : Yektaweb