Genetic codes optimized as a traveling salesman problem

Genetic Algorithms for the Traveling Salesman Problem

This paper is a survey of genetic algorithms for t h e traveling salesman problem. Genetic algorithms are randomized search techniques that simulate some of the processes observed i n natural evolution. In this paper, a simple genetic algorithm is introduced, and various extensions are presented to solve t h e traveling salesman problem. Computational results are also repor ted for both random ...

Genetic Algorithms for the Traveling Salesman Problem

Genetic Algorithms in Traveling Salesman Problem

Genetic algorithms are a revolutionary technique which used operators like mutation, crossover and selection in resolving optimization problems. They have been used with success in multiple problems. The TSP (Traveling Salesman Problem) is one of these problems. It consists in finding the route with minimal length, passing by every node of a weighted graph only once. This problem is found in ma...

Traveling Salesman Problem using Genetic Algorithm

Traveling Salesman Problem (TSP) is an NP-hard Problem, which has many different real life applications. Genetic Algorithms (GA) are robust and probabilistic search algorithms based on the mechanics of natural selection and survival of the fittest that is used to solve optimization and many real life problems. This paper presents Genetic Algorithm for TSP. Moreover it also shows best suitable p...

Immune-Genetic Algorithm for Traveling Salesman Problem

The Traveling Salesman Problem (TSP), first formulated as a mathematical problem in 1930, has been receiving continuous and growing attention in artificial intelligence, computational mathematics and optimization in recent years. TSP can be described as follows: Given a set of cities, and known distances between each pair of cities, the salesman has to find a shortest possible tour that visits ...