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Authors: Andrzej Luksza and Wieslaw Sienko

Affiliation: Gdynia Maritime University, Poland

Keyword(s): Traveling Salesman Problem, Combinatorial Optimization, Passive Neural Networks

Abstract: Presented in this paper numeric experiments on random, relative large travelling salesman problems, show that the passive neural networks can be used as an efficient, dynamic optimization tool for combinatorial programming. Moreover, the passive neural networks, when implemented in VLSI technology, could be a basis for structure of bio-inspired processors, for real-time optimizations.

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Paper citation in several formats:
Luksza, A. and Sienko, W. (2014). Traveling Salesman Problem Solutions by Using Passive Neural Networks. In Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2014) - ANNIIP; ISBN 978-989-758-041-3, SciTePress, pages 69-77. DOI: 10.5220/0005132800690077

@conference{anniip14,
author={Andrzej Luksza. and Wieslaw Sienko.},
title={Traveling Salesman Problem Solutions by Using Passive Neural Networks},
booktitle={Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2014) - ANNIIP},
year={2014},
pages={69-77},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005132800690077},
isbn={978-989-758-041-3},
}

TY - CONF

JO - Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2014) - ANNIIP
TI - Traveling Salesman Problem Solutions by Using Passive Neural Networks
SN - 978-989-758-041-3
AU - Luksza, A.
AU - Sienko, W.
PY - 2014
SP - 69
EP - 77
DO - 10.5220/0005132800690077
PB - SciTePress