New Integer Programming Formulations of the Generalized Travelling Salesman Problem

Gucht, The effects of population size, heuristic crossover and local improvement on a genetic algorithm for the traveling salesman problem, in: Proc. Johnson,

By conducting a piecewise linear approximation of a nonlinear program, con- taining a separable nonlinear objective function, it may be possible to gener- ate a linear programming

solution of interested variables is helpful to the improvement of the model and the explain-ability of the solution. A lot of trial-and-error to obtain the desired solution

The great advantage over the use of exact methods is that ACO algorithm provides relatively good results by a comparatively low number of iterations, and is therefore able to find

On the basis of the results obtained the limits for the algorithm prac- tical specification in the preparation of the route network are given. Key words: salesman, distance,

The present paper is devoted to investigating the equations (5)-(6) coupled equation (2) and establishing certain mathe- matical results on the existence and uniqueness of the

It can be seen that by having the ROCKS running on Beowulf cluster we can effectively disseminate the tasks through out the cluster thereby performing computation via the

The techniques discussed in this paper are Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Bacterial Foraging Optimization Algorithm (BFOA),