AIGA

Design of AIGA and Its Implementation in OB System

AIGA的设计及其在OB营帐系统中的实现

An improved adaptive immunity genetic arithmetic ( AIGA ) and its application in identification of the steam temperature

一种改进免疫遗传算法及其对热工对象的辨识

An adaptive immune genetic algorithm ( AIGA ) was proposed on the basis of genetic algorithm and immune principle .

基于遗传算法与免疫系统的机理，提出了一种自适应免疫遗传算法（AIGA）。

To avoid premature and guarantee the diversity of the population , an Adaptive Immune-Genetic Algorithm ( AIGA ) is proposed to solve these problems .

遗传算法在进化过程中易出现早熟收敛、不能保证种群多样性的现象。

When the method of antibody distilling and injecting used in Travelling Salesman Problem ( TSP ) were presented , the convergence of AIGA was proven theoretically .

结合旅行商问题（TSP），给出了示范抗体的提取和注射方法，并给出了算法收敛性的理论证明。

With the assistance and advice of faculty at CAFA and the AIGA China Advisory Board , these tools and practices will be distributed through the most appropriate channels .

在中央美术学院的帮助和支持下，AIGA的资源将通过适当和有效的途径为中国的设计院校所用。

Bart has been executive vice president and a director of the American Institute of Graphic Arts and is a founding member and past president of the AIGA Chicago Chapter .

巴特曾是美国平面设计协会（AIGA）的执行副主席和总监，并且也是AIGA芝加哥分部的创办者和前主席。

In addition , we hope that the publication of AIGA Speaks : " To Design or Not To Design " and35 Other Essays will inspire other exceptional contributions .

此外，我们希望《AIGA说：〈设计还是不设计〉及其他35篇短文》的出版可以起到“抛砖引玉”的作用。

Immunity operator enables to prevent individual degenerate in crossover or mutation , and adaptive strategy to keep population diversity , which ensure to obtain the global optimal solution , so Adaptive Immunity Genetic Algorithm ( AIGA ) is thus named .

其中免疫算子可以防止交叉变异中的个体退化，自适应策略则保持了种群的多样性，以此保证遗传算法尽快收敛到全局最优解，称之为自适应免疫遗传算法（AIGA）。

The defined global energy function is optimized by AIGA . The optimizing process is guided by the immune operator to avoide the blind searching of GA. The probability of immune selection is chosen as a function of concentration and fitness to prevent the possible premature .

全局能量函数利用自适应免疫遗传算法优化，在优化过程中，利用免疫操作指导迭代来避免盲目搜索，免疫选择概率与适应度和浓度相关来避免早熟现象。