Title :
An efficient algorithm to solve the E-TSP
Author :
Al-Mulhem, Muhammed ; Al-Maghrabi, Tareq
Author_Institution :
Dept. of Inf. & Comput. Sci., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Abstract :
The paper describes a hybrid algorithm that combines an adaptive type neural network algorithm and a non deterministic iterative algorithm to solve the Euclidean Traveling Salesman Problem (E-TSP). It begins with a brief introduction to TSP and E-TSP. Then, it presents the proposed algorithm with its two major components: the convex elastic net (CEN) algorithm and the non deterministic iterative improvement (NII) algorithm. These two algorithms are combined into an algorithm called Efficient Convex-Elastic Net (ECEN) algorithm. Experimental results are given to show that the proposed algorithm can find the nearly optimal solution for the E-TSP that outperform many similar algorithms reported in the literature. The paper concludes with the advantages of the new algorithm and possible extensions
Keywords :
iterative methods; neural nets; travelling salesman problems; Efficient Convex-Elastic Net algorithm; Euclidean Traveling Salesman Problem; adaptive type neural network algorithm; convex elastic net algorithm; hybrid algorithm; nearly optimal solution; non deterministic iterative algorithm; non deterministic iterative improvement algorithm; Cities and towns; Computer science; Costs; Euclidean distance; Iterative algorithms; Minerals; Neural networks; Operations research; Petroleum; Traveling salesman problems;
Conference_Titel :
Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on
Conference_Location :
St. Johns, Nfld.
Print_ISBN :
0-7803-3716-6
DOI :
10.1109/CCECE.1997.614841