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Article Information:
Ant Colony Optimization: A Review and Comparison
Sundus Shaukat, Riaz Ahmed Bhatti, Khalid Ibrahim Qureshi and Shafqat Ali Shad
Corresponding Author: Sundus Shaukat
Submitted: April 15, 2014
Accepted: May 24, 2014
Published: July 15, 2014 |
Abstract:
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Many optmization algorithms are developed over period of time, among these most famous and widely used is Ant Colony systems (ACA). Ant Colony Systems (ACS) are the collection of different ant colony optimization algorithms. Different algorithms are used for solve the Travelling salesmen Problem (TCP) but ant colony algorithm is more preferred to solve the travelling salesmen problem. In ant colony best solution is found with the help of cooperating agents called ants. Ants cooperate with each other and communicate using an indirect way with the help of pheromone which is deposited on the edges on the path. To achieve the finest solution, different ant colony techniques are compared. In this study we compared different Ant Colony Systems (ACS) algorithms through their implementation on classical problem of Travelling salesmen Problem (TCP).
Key words: Ant colony algorithm optimization, neural networks, , , , ,
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Cite this Reference:
Sundus Shaukat, Riaz Ahmed Bhatti, Khalid Ibrahim Qureshi and Shafqat Ali Shad, . Ant Colony Optimization: A Review and Comparison. Research Journal of Applied Sciences, Engineering and Technology, (3): 435-438.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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