Aiea

The key of this article is using AIEA to optimize virtual topology, to get the optimal solution by evolved virtual topology generation and generation.

本论文的重点是把自适应免疫算法运用到虚拓扑的优化中，通过算法逐代的进化虚拓扑，从而在若干代以后得到整个问题的最优解或近似最优解。

At last introduce how to use AIEA to solve traffic grooming problem on maximizing network throughput as the first optimal objective and minimizing end-to-end delay as the second optimal objective with the limits of wavelength number per fiber and transceivers number per node.

最后着重介绍如何利用自适应免疫算法解决在网络波长数和收发器数限制的情况下，最大化网络的吞吐量，同时兼顾业务连接端到端的时延的业务疏导问题。

The Planning and Design of Children's Outdoor Activity Space in the Residential Aiea

居住区儿童户外活动空间规划设计研究

Based on the principle of the immune response and the hormone regulation, a new artificial immune and endocrine algorithm ( AIEA) is proposed.

基于免疫应答原理和内分泌调节机理，提出了一种新的免疫内分泌算法。

An adaptive immune evolutionary algorithm ( AIEA) is proposed, and is applied to the image segmentation problem.

提出一种自适应免疫进化算法，并用于图像的分割。

AIEA can adaptively extract useful information from genes of the current optimal individual and make vaccines during evolution.

该算法能够从其最佳个体的基因中自适应地提取有效信息制作成免疫疫苗。