@inproceedings{0e6a709f1d9848f7b2e5fe0781b9bfcb,
title = "An improvement to ant colony optimization heuristic",
abstract = "Ant Colony Optimization (ACO) heuristic provides a relatively easy and direct method to handle problem's constraints (through introducing the so called solution construction process), while in the other heuristics, constraint-handling is normally sophisticated. But this makes its solving process slow for the solution construction process occupies most part of its computation time. In this paper, we propose a strategy to hybridize Hopfield discrete neural networks (HDNN) with ACO heuristic for maximum independent set (MIS) problems. Several simulation instances showed that the strategy can greatly improve ACO heuristic performance not only in time cost but also in solution quality.",
keywords = "Ant colony optimization, Hopfield discrete neural network, Maximum independent set",
author = "Youmei Li and Zongben Xu and Feilong Cao",
year = "2008",
doi = "10.1007/978-3-540-87732-5\_90",
language = "英语",
isbn = "3540877312",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 1",
pages = "816--825",
booktitle = "Advances in Neural Networks - ISNN 2008 - 5th International Symposium on Neural Networks, ISNN 2008, Proceedings",
edition = "PART 1",
note = "5th International Symposium on Neural Networks, ISNN 2008 ; Conference date: 24-09-2008 Through 28-09-2008",
}