@inproceedings{4e9464ee28374b8788de085c1fff33f4,
title = "SMMH - A parallel heuristic for combinatorial optimization problems",
abstract = "The process of finding one or more optimal solutions for answering combinatorial optimization problems bases itself on the use of algorithms instances. Those instances usually have to explore a very large search spaces. Heuristics search focusing on the use of High-Order Hopfield neural networks is a largely deployed technique for very large search space. It can be established a very powerful analogy towards the dynamics evolution of a physics spin-glass system while minimizing its own energy and the energy function of the network. This paper presents a new approach for solving combinatorial optimization problems through parallel simulations, based on a High-Order Hopfield neural network using MPI specification.",
keywords = "Combinatorial optimization, High-order hopfield network, MPI",
author = "Guilherme Domingues and Yoshiyuki Morie and Gu, \{Feng Long\} and Takeshi Nanri and Kazuaki Murakami",
year = "2007",
doi = "10.1063/1.2835960",
language = "英語",
isbn = "9780735404786",
series = "AIP Conference Proceedings",
number = "2",
pages = "1195--1198",
booktitle = "Computation in Modern Science and Engineering - Proceedings of the International Conference on Computational Methods in Science and Engineering 2007 (ICCMSE 2007)",
edition = "2",
note = "International Conference on Computational Methods in Science and Engineering 2007, ICCMSE 2007 ; Conference date: 25-09-2007 Through 30-09-2007",
}