CAJ | 학술논문

针对阴性选择算法存在大量无法检测的黑洞,提出了一种基于黑洞集合和自我集合定向生成匹配阈值可变的 r 块黑洞检测器的算法.对阴性选择算法进行改进,提出了采用双重检测器的阴性选择算法 DLD-NSA,该算法在保证较快的检测速度的前提下,通过提高黑洞元素检测率,实现更大范围的非我空间覆盖.仿真结果表明,该算法与变长 r 连续位阴性选择算法相比,具有更高的非我空间覆盖率,尤其是在黑洞覆盖方面效果更好.
침대음성선택산법존재대량무법검측적흑동,제출료일충기우흑동집합화자아집합정향생성필배역치가변적 r 괴흑동검측기적산법.대음성선택산법진행개진,제출료채용쌍중검측기적음성선택산법 DLD-NSA,해산법재보증교쾌적검측속도적전제하,통과제고흑동원소검측솔,실현경대범위적비아공간복개.방진결과표명,해산법여변장 r 련속위음성선택산법상비,구유경고적비아공간복개솔,우기시재흑동복개방면효과경호.
With the problem that a large number of undetectable holes existed in negative selection algorithm, an algo-rithm of directional generating holes’ detectors using r-chunk matching rule with variable matching threshold based on hole-set and self-set was proposed. Improvement was made to negative selection algorithm that NSA with double layers detectors was proposed. This algorithm achieved a wider range of non-self space coverage with the precondition of en-suring fast detection speed by increasing the detection rate of holes. Simulation result shows that comparing with NSA using variable matching length of r-contiguous bits this algorithm can achieve higher non-self space coverage, especially better performance in hole-space coverage.