Artificial Intelligence - هوش مصنوعی  
انجمن را در گوگل محبوب کنيد :

بازگشت   Artificial Intelligence - هوش مصنوعی > الگوریتم ها > الگوریتم کلونی مورچگان (Ant Colony Algorithm)


 
تبليغات سايت
Iranian Association for the Advancement of Artificial Intelligence
ارسال تاپيک جديد  پاسخ
 
LinkBack ابزارهاي تاپيک نحوه نمايش
قديمي ۰۴-۲۸-۱۳۸۹, ۱۰:۱۴ بعد از ظهر   #1 (لینک دائم)
Administrator
 
آواتار Astaraki
 
تاريخ عضويت: خرداد ۱۳۸۷
محل سكونت: تهران-کرج!
پست ها: 3,465
تشكرها: 754
16,337 تشكر در 3,127 پست
My Mood: Mehrabon
ارسال پيغام Yahoo به Astaraki
Wink Application of an Ant Colony Optimization Algorithm for Optimal Operation of Reservoi

Application of an Ant Colony Optimization Algorithm for Optimal Operation of Reservoirs: A Comparative Study of Three Proposed Formulations

Abstract:
This paper presents an application of the Max-Min Ant System for optimal operation of reservoirs using three di erent formulations. Ant colony optimization algorithms are a meta-heuristic approach initially inspired by the observation that ants can nd the shortest path between food sources and their nest. The basic algorithm of Ant Colony Optimization is the Ant System. Many other algorithms, such as the Max-Min Ant System, have been introduced to improve the performance of the Ant System. The rst step for solving problems using ant algorithms is to de ne the graph of the problem under consideration. The problem graph is related to the decision variables of problems. In this paper, the problem of optimal operation of reservoirs is formulated using two di erent sets of decision variable, i.e. storage volumes and releases. It is also shown that the problem can be formulated in two di erent graph forms when the reservoir storages are taken as the decision variables, while only one graph representation is available when the releases are taken as the decision variables. The advantages and disadvantages of these formulation are discussed when an ant algorithm, such as the Max-Min Ant System, is attempted to solve the underlying problem. The proposed formulations are then used to solve the problem of water supply and the hydropower operation of the \Dez" reservoir. The results are then compared with each other and those of other methods such as the Ant Colony System, Genetic Algorithms, Honey Bee Mating Optimization and the results obtained by Lingo software. The results indicate the ability of the proposed formulation and, in particular, the third formulation to optimally solve reservoir operation problems.


Keywords:
Ant colony optimization; Max، Min Ant System; Graph; Optimal operation of reservoir; Hydropower reservoir.
فايل ضميمه
نوع فايل: pdf p0180600702731-TQIWPJ.pdf (411.0 كيلو بايت, 132 نمايش)
Astaraki آفلاين است   پاسخ با نقل قول

  #ADS
نشان دهنده تبلیغات
تبليغگر
 
 
 
تاريخ عضويت: -
محل سكونت: -
سن: 2010
پست ها: -
 

نشان دهنده تبلیغات is online  
پاسخ



كاربران در حال ديدن تاپيک: 1 (0 عضو و 1 مهمان)
 
ابزارهاي تاپيک
نحوه نمايش

قوانين ارسال
You may not post new threads
You may not post replies
You may not post attachments
You may not edit your posts

BB code is فعال
شکلکها فعال است
كد [IMG] فعال است
كدهاي HTML غير فعال است
Trackbacks are فعال
Pingbacks are فعال
Refbacks are فعال




زمان محلي شما با تنظيم GMT +3.5 هم اکنون ۰۱:۳۴ قبل از ظهر ميباشد.


Powered by vBulletin® Version 3.8.3
Copyright ©2000 - 2024, Jelsoft Enterprises Ltd.
Search Engine Friendly URLs by vBSEO 3.1.0 ©2007, Crawlability, Inc.

Teach and Learn at Hexib | Sponsored by www.Syavash.com and Product In Review

استفاده از مطالب انجمن در سایر سایت ها، تنها با ذکر انجمن هوش مصنوعي به عنوان منبع و لینک مستقیم به خود مطلب مجاز است

Inactive Reminders By Icora Web Design