Sadegheih - University of Yazd

In general, a characteristic of heuristic techniques is that strictly speaking an optimal solution is not sought, instead the goal is a ‘good’ solution. Whilst this may yield advantages from the practical point of view, it is a distinct disadvantage if there are good alternative techniques that target the optimal solution. This paper serves two purposes. In the first instance it demonstrates the successful application of a GA to a large scale TNP. It also introduces a heuristic method reported in the literature for TNP. This provides evidence to support the argued view of the future for heuristic methods given the emergence of GA’s.

Artificial Intelligence, Heuristic techniques, System Planning, Genetic Algorithm, Programming Non-linear