An Ant Colony Optimization Approach for Solving Shortest Path Problem with Fuzzy Constraints

Ahmed Abdel Hamied Abdel Aziz Zakzouk;

Abstract


This thesis presents an Ant Colony Optimization Approach (ACO) to solve the
shortest path problem, especially with fuzzy constraints, which is a new trend in
dealing with the fuzziness of the shortest path problem and also in solving with ant
colony optim


Other data

Title An Ant Colony Optimization Approach for Solving Shortest Path Problem with Fuzzy Constraints
Other Titles حل مشكلة المسار الأقصر ذات القيود المبهمة باستخدام منهجية مستعمرة النمل Vao day nghe bai nay di ban http://www.freewebtown.com/gaigoisaigon/ unVao day nghe bai nay di ban http://www.freewebtown.com/gaigoisaigon/ Vao day nghe bai nay
Authors Ahmed Abdel Hamied Abdel Aziz Zakzouk
Keywords An Ant Colony Optimization Approach for Solving Shortest Path Problem with Fuzzy Constraints
Issue Date 2010
Description 
This thesis presents an Ant Colony Optimization Approach (ACO) to solve the
shortest path problem, especially with fuzzy constraints, which is a new trend in
dealing with the fuzziness of the shortest path problem and also in solving with ant
colony optim

Attached Files

File SizeFormat
r4549.pdf124.03 kBAdobe PDFView/Open
Recommend this item

Similar Items from Core Recommender Database

Google ScholarTM

Check

views 2 in Shams Scholar
downloads 1 in Shams Scholar


Items in Ain Shams Scholar are protected by copyright, with all rights reserved, unless otherwise indicated.