资 源 简 介
This paper presents the adaptation of an immune
network model, originally proposed to perform information
compression and data clustering, to solve multimodal function
optimization problems. The algorithm is described, theoretically
and empirically compared with similar approaches from the
literature. The main features of the algorithm are automatic
determination of the population size, combination of local with
global search (exploitation plus exploration of the fitness
landscape), defined convergence criterion, and capability of
locating and maintaining stable local optima solutions.
文 件 列 表
人工免疫系统(工具箱）
abnet.m
ag.mat
ag1.mat
ainet.m
anal1.m
anal2.m
anal3.m
analysis.m
cluster.m
clusterdata.m
cophenet.m
data.mat
dendro.m
dendrogram.m
dist.m
donuts.m
donuts1.m
draw_abnet.m
fuzzy_cluster.m
ga3d.m
HARDLIM.M
HARDLIMS.M
imalg3d.m
imalgchar.m
inconsistent.m
LINKAGE.m
norma.m
num8_12x10.mat
opt_d1.m
opt_d2.m
opt_d3.m
opt_d4.m
PDIST.m
sacubic.m
saml.m
sareal.m
SPIR.M
TRANSZ.M
tutorial.m
