@inproceedings{19a12f7d6cb944dd8e85ae74130ca9fb,
title = "An immune genetic algorithm based on immune regulation",
abstract = "Using immune regulation mechanisms that include density regulation and network regulation, this paper proposes a novel immune genetic algorithm. Its core idea is that all individuals compose an antibody network, and it utilizes a density regulation mechanism to adjust individual diversity at an individual level and network regulation mechanism to achieve dynamic balance between individual diversity and population convergence. The dynamic regulative ability of this algorithm is analyzed and the approach to choosing the parameters is also given. As a novel adaptive resolving algorithm, it can be used to solve many complex optimization problems. This paper discusses solution of the frequency assignment problem and analyzes the parameters' influence upon the performance of this algorithm. The experimental results prove that this algorithm has good performance and can properly maintain the balance between individual diversity and population convergence.",
keywords = "density regulation, frequency assignment, Immune genetic algorithm, network regulation",
author = "Wenjian Luo and Xianbin Cao and Xufa Wang",
year = "2002",
doi = "10.1109/CEC.2002.1007028",
language = "英语",
isbn = "0780372824",
series = "Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002",
publisher = "IEEE Computer Society",
pages = "801--806",
booktitle = "Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002",
address = "美国",
note = "2002 Congress on Evolutionary Computation, CEC 2002 ; Conference date: 12-05-2002 Through 17-05-2002",
}