Document Details

Document Type : Article In Conference 
Document Title :
Enhancing the Behavior of the Ant Algorithms to Solve Network Planning Problem
تحسين أداء خوارزمية مستعمرة النمل لحل مشكلة تخطيط الشبكات
 
Subject : Ant-Colony Algorithms, Network Planning, CLUSTERING techniques 
Document Language : English 
Abstract : This paper introduces an enhancements to Ant Colony system, which is considered one of the most successful ant algorithms used to solve combinatorial optimization problems. Network Planning is the problem of how to plan the infrastructure network in the new city. This paper deals with optimization algorithms for network design problem. The objective is to design a distribution network at a minimum cost that satisfies the demand and constraints required by the subscribers. This approach uses the idea of an ant group to represent a solution and can assist the solution of large networks that cannot normally be solved to optimality. The algorithmic implementation of the proposed algorithm is described and computational experience is reported. Results demonstrate the effectiveness and flexibility of the modifying algorithm. Comparisons with related work are presented showing the advantages of the purposed algorithm introduced in this paper. 
Conference Name : Third ACIS International Conference on Software Engineering, Research, Management and Applications (SERA 2005), Mt. Pleasant, Michigan, USA, 11-13 Aug 
Duration : From : 1425 AH - To : 1425 AH
From : 2005 AD - To : 2005 AD
 
Publishing Year : 1425 AH
2005 AD
 
Number Of Pages : 0 
Article Type : Article 
Conference Place : Michigan, USA 
Organizing Body : Third ACIS International Conference on Software Engineering, Research, Management and Applications (SERA 2005), Mt. Pleasant, Michigan, USA, 11-13 August 2005 
Added Date : Wednesday, April 25, 2012 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
لمياء فتوح ابراهيمIbrahim, Lamiaa FattouhInvestigatorDoctoratelfibrahim@kau.edu.sa
علا متوليMetwaly, Olaa ResearcherMasterlfibrahim@kau.edu.sa
اميرة كابلKapel, Amira ResearcherMasterlfibrahim@kau.edu.sa
اغصان احمدAhmed, Agsan ResearcherMaster 

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