Open access peer-reviewed chapter

An Efficient Solving the Travelling Salesman Problem : Global Optimization of Neural Networks by Using Hybrid Method

By Yong-hyun Cho

Submitted: April 6th 2010Published: December 30th 2010

DOI: 10.5772/12855

Downloaded: 3387

© 2010 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike-3.0 License, which permits use, distribution and reproduction for non-commercial purposes, provided the original is properly cited and derivative works building on this content are distributed under the same license.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Yong-hyun Cho (December 30th 2010). An Efficient Solving the Travelling Salesman Problem : Global Optimization of Neural Networks by Using Hybrid Method, Traveling Salesman Problem, Theory and Applications, Donald Davendra, IntechOpen, DOI: 10.5772/12855. Available from:

chapter statistics

3387total chapter downloads

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Recurrent Neural Networks with the Soft 'Winner Takes All' Principle Applied to the Traveling Salesman Problem

By Paulo Siqueira, Maria Teresinha Arns Steiner and Sérgio Scheer

Related Book

First chapter

Limit Properties of Evolutionary Algorithms

By Witold Kosiński, and Stefan Kotowski

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

More About Us