Solving TSP using DARO

Solving TSP using DARO

Travelling Salesperson Problem is finding a Hamiltonian cycle with minimum weight. The paper presents solution travelling salesperson problem with Genetic Algorithm. Dynamic allocation of reproduction operators and social disaster technique are used for generating the population and based on the convergence analysis of evaluation process. The method is demonstrated and found to be effective in ...

Solving TSP Using Various Meta-Heuristic Algorithms

Real world problems like Travelling Salesman Problem (TSP) belong to NP-hard optimization problems which are difficult to solve using classical mathematical methods. Therefore, many alternate solutions have been developed to find the optimal solution in shortest possible time. Nature-inspired algorithms are one of the proposed solutions which are successful in finding the solutions that are ver...

Solving the TSP Using Chaotic Simulated Annealing

Solving the Free Clustered TSP Using a Memetic Algorithm

The free clustered travelling salesman problem (FCTSP) is an extension of the classical travelling salesman problem where the set of vertices is partitioned into clusters, and the task is to find a minimum cost Hamiltonian tour such that the vertices in any cluster are visited contiguously. This paper proposes the use of a memetic algorithm (MA) that combines the global search ability of Geneti...

Mutually Nearest Vertex Clusters for Solving TSP

The Travelling Salesman Problem (TSP) is a classical problem in the field of combinatorial optimization. Main objective of TSP is to find an optimal tour which starts from an arbitrary city (vertex), visits remaining cities exactly once and returns back to the city at which tour commenced. TSP belongs to the class of NP Complete problems, has been studied for many years and is still being studi...