Comparison of Optimization strategies for the TSP

COMPARISMS OF OPTIMIZATION STRATEGIES FOR THE TRAVELLING SALESMAN
PROBLEM

Department of Information Systems and Computing
B.Sc. (Hons) Computer Science, Artificial Intelligence
Academic Year 2012-2013

Comparison of Optimization Strategies for the Travelling Salesman Problem
Adewale Oluwaseun Mako (0941620)

A Report Submitted in the partial fulfilment of the requirement for the degree of Bachelor of Science

Brunel University
Department of Information Systems and Computing
Uxbridge, Middlesex UB8 3PH
United Kingdom
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COMPARISON OF OPTIMISATION STRATEGIES FOR THE TRAVELLING SALESMAN
PROBLEM

ABSTRACT
In this report, the topic been discussed is how to Compare Optimisation
Strategies for the Travelling Salesman Problem (T.S.P). With the topic above I would like
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COMPARISMS OF OPTIMIZATION STRATEGIES FOR THE TRAVELLING SALESMAN
PROBLEM
to say that the real problem is the T.S.P and the approach taken to compare the optimization strategies.
So first of all, what is the T.S.P? The Travelling Salesman Problem (T.S.P) is the problem of finding a tour through a specified set of cities that minimizes the total travel distance; or, more formally, the Problem of finding a Hamiltonian circuit of minimum cost in an edge-weighted graph. It is probably the most well-known NP-hard combinatorial optimization problem, and arises in many practical applications, either directly or as a subproblem. (Lawler et al. 1985; Reinelt 1994; Gutin and Punnen 2002).
In this project I will be implementing the various heuristics search methods such as
Hill Climber, Random Mutation Hill Climber, Random Restart Hill Climber and Simulated
Annealing to solve TSP and check the fitness level of the algorithms to see how well the algorithms work against the standard of TSP.

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COMPARISMS OF OPTIMIZATION STRATEGIES FOR THE TRAVELLING SALESMAN
PROBLEM
ACKNOWLEDGEMENT
Great is the Lord for he has

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