Description: The field of Artificial Immune Systems (AIS) concerns the study and development of
computationally interesting abstractions of the immune system. Platform: |
Size: 256000 |
Author:wu |
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Description: 摘要:提出了一种新型的人工免疫算法用来解决多目标函数优化问题。基于自然免疫系统固有的优良特性对算法进行了设计和分析。
最后,算法对3个较复杂的多目标问题进行了优化,优化结果能很好地覆盖问题的Pareto最优面,并且把算法与某些混合遗传算法进行
了对比实验,表明人工免疫算法在解决多目标优化问题上具有可观的研究前景。
-Abstract:In order to effectively solve multiobjective optimization problems, a novel artificial immune algorithm is proposed. It is de
signed and analyzed based on excellent intrinsic features of nature immune systems. Additionally, the algorithm sensitivity to its tuning pa
rameters is briefly assessed. Finally, the algorithm is applied to solve three complex multiobjective optimization problems and the results ca
perfectly map the Pareto-optimal fronts. By comparing the algorithm with some genetic algorithms, it shows the good prospect to apply ar
tificial immune system to solve multiobjective optimization problems.
Platform: |
Size: 90112 |
Author:王飞 |
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Description: 生物体是一个复杂的大系统，其信息处理功能是由时间和空间尺寸相异的三个子系统完成的，即:脑神经系统、免疫系统和内分泌系统。
人工免疫系统是一种受生物免疫系统启发， 模仿自然免疫系统功能的一种智能方法。
人工智能对神经系统的借鉴和模拟的成果很丰富，已经有比较成熟的方法和模型以资利用，相比较而言，对免疫系统研究还处于初级阶段。
-Organism is a complex large system, its information processing functions differ by time and space dimensions of the three subsystems completed, namely: cranial nerve system, immune system and endocrine system. Artificial immune system is a kind of inspired by the biological immune system, mimicking the natural immune system function in an intelligent way.人工智能对神经系统的借鉴和模拟的成果很丰富，已经有比较成熟的方法和模型以资利用，相比较而言，对免疫系统研究还处于初级阶段。 Platform: |
Size: 231424 |
Author:Kevin |
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Description: 对原始K_MEANS算法引入人工免疫的思想，是运行结果更好-The introduction of the original algorithm of artificial immune K_MEANS idea is to run the results better Platform: |
Size: 158720 |
Author:李丽 |
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Description: 基于人工免疫算法的变电站电压无功综合控制-Based on artificial immune algorithm integrated voltage and reactive power control Platform: |
Size: 2048 |
Author:许水燕 |
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Description: 基于人工免疫系统的简单优化算法，结果很好！-Based on a simple artificial immune system algorithm, the results well! Platform: |
Size: 2048 |
Author:philostin |
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Description: 用C语言开发的人工免疫程序，文件为pdf说明文档-Developed using C language artificial immune programs, files, documentation for the pdf Platform: |
Size: 117760 |
Author:chenzhao |
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Description: 为求解大规模TSP 问题, 提出了并行人工免疫系统的塔式主从模型(TMSM), 和基于TMSM 的并行免疫记忆克隆选择算法(PIMCSA) TMSM
是粗粒度的两层并行人工免疫模型, 其设计体现了分布式的免疫响应和免疫记忆机制. PIMCSA 用疫苗的迁移代替了抗体的迁移, 兼顾了种群多样性的保持和算法的收敛速度. 与其他算法相比, PIMCSA 在求解精度和运行时间上都更具优势, 而且问题规模越大优势越明显. TMSM 很好地体现了免疫系统的特性, PIMCSA 是适合求解大规模复杂优化问题
的并行人工免疫算法, 具有良好的可扩展性.-This paper presents a parallel model termed as towerlike master slave model (TMSM) for artificial immune systems. Based on TMSM, the parallel immune memory clonal selection algorithm ( PIMCSA) is also designed for dealing with large scale TSP problems. TMSM is a two level coarse grained parallel artificial immune model with distributed immune response and dis
tributed immune memory. In PIMCSA, vaccines are extracted and migrated between populations rather than antibodies as has been done in parallel genetic algorithms, it is a good balance between the diversity maintenance of populations and the convergent speed of the algorithm. PIMCSA shows superiority over other compared approaches both in solution quality and computation time, and the
lager the problem size the more outstanding the predominance will be. TMSM is a good simulation of biological immune system, and PIMCSA is a parallel artificial immune algorithm with good extensibility, which is capable of solving large scale and c Platform: |
Size: 435200 |
Author:崔冰 |
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