搜索资源列表
-
0下载：
该函数根据待待配准图象中的特征点位置在基准图象中寻找配准特征点，并将配准的特征点位置返回。在配准的过程中，采取的是块配准的方法进行配准-according to the functions assigned to the prospective image of the location of the benchmark for image registration feature, Registration will feature the return position. In the re
-
-
1下载：
基于生物免疫系统的自适应学习、免疫记忆、抗体多样性及动态平衡维持等功能,提出一种动态多目标免疫
优化算法处理动态多目标优化问题.算法设计中,依据自适应ζ邻域及抗体所处位置设计抗体的亲和力,基于Pa-
reto控制的概念,利用分层选择确定参与进化的抗体,经由克隆扩张及自适应高斯变异,提高群体的平均亲和力,利
用免疫记忆、动态维持和Average linkage聚类方法,设计环境识别规则和记忆池,借助3种不同类型的动态多目标
测试问题,通过与出众的动态环境优化算法比较,数值实验表明所
-
-
0下载：
Particle swarm optimization has been used to solve many optimization problems since it was
proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and
several papers on this topic [5][7][13][15], one of which did a s
-
-
0下载：
Gaussian Bare-Bones Differential Evolution
Differential evolution (DE) is a well-known algorithm
for global optimization over continuous search spaces. However,
choosing the optimal control parameters is a challenging task
because they are
-
-
0下载：
The Bee Colony Optimization (BCO) meta-heuristic deals with combinatorial optimization problems. It is
biologically inspired method that explores collective intelligence applied by the honey bees during nectar
collecting process. In this paper we
-
-
0下载：
The Bee Colony Optimization (BCO) meta-heuristic deals with combinatorial optimization problems. It is
biologically inspired method that explores collective intelligence applied by the honey bees during nectar
collecting process. In this paper we
-
-
1下载：
通过加入Late Acceptance Strategy，改进了爬山局部搜索算法，该算法在求解某些benchmark函数时，比禁忌搜索和模拟退火等局部搜索算法更好。(by Late Acceptance Strategy, An improved hill climbing local search algorithm is proposed which outperforms Tabu and SA when solving some benchmark functions.)
-
-
3下载：
cec 单目标约束优化问题的标准测试函数 G01-G24(cec2006 Benchmark functions G01-G24 on Constrained optimization problem.)
-
