Ant Colony Optimisation
Ant Colony OptimisationAnt Colony Optimization
A Seminar Report on
“Ant Colony Optimization”
A Seminar submitted in partial fulfilment of the requirements for the award of degree
BACHELOR OF TECHNOLOGY
COMPUTER SCIENCE ENGINEERING
Ranjith Kumar A (06J11A0534)
Department of computer science engineering HITECH COLLEGE OF ENGG & TECHNOLOGY (Affiliated to Jawaharlal Nehru Technological University, Hyderabad) Himayathnagar, C.B.Post, Moinabad, Hyderabad-5000
This is to certify that the Seminar Report on “Ant Colony Optimization”, is a bonafide Seminar work done by Ranjith Kumar A (06J11A0534), in partial fulfillment for the award of the degree Bachelor of Technology in “Computer Science engineering” J.N.T.U Hyderabad during the year 2010.
Y.V.S Pragathi M.Tech Head of CSE Department
Ant Colony Optimization (ACO) has been successfully applied to those combinatorial optimization problems which can be translated into a graph exploration. Artificial ants build solutions step by step adding solution components that are represented by graph nodes. The existing ACO algorithms are suitable when the graph is not very large (thousands of nodes) but is not useful when the graph size can be a challenge for the computer memory and cannot be completely generated or stored in it. In this paper we study a new ACO model that overcomes the difficulties found when working with a huge construction graph. In addition to the description of the model, we analyze in the experimental section one technique used for dealing with this huge graph exploration. The results of the analysis can help to understand the meaning of the new parameters introduced and to decide which parameterization is more suitable for a given problem. For the experiments we use one real problem with capital importance in Software Engineering: refutation of safety properties in concurrent systems. This way, we foster an innovative research line related...