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arXiv 1303.4375cs.ITmath.IT
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用探试法计算线性分组码的最小距离

On the Computing of the Minimum Distance of Linear Block Codes by Heuristic Methods

Mohamed Askali, Ahmed Azouaoui, Saïd Nouh, Mostafa Belkasmi

摘要:

线性分组码的最小距离的计算是编码理论中的一个未解决的问题,而且用经典的方法很难确定它的真值,因此文献中已经用启发式技术如遗传算法和局部搜索算法解决了这个问题。在本文中,我们提出了两种方法来攻击这个问题的硬度。第一种方法是基于遗传算法,它产生了良好的效果相比,另一项工作也基于遗传算法。第二种方法是基于一种新的随机算法,我们称之为多脉冲方法MIM,其中的原则是搜索码字本地周围的全零码字扰动的最小水平的噪声,预计所得到的最接近的非零码字将最有可能包含最小汉明重量的码字,其汉明重量等于线性码的最小距离。

英文摘要:

The evaluation of the minimum distance of linear block codes remains an open problem in coding theory, and it is not easy to determine its true value by classical methods, for this reason the problem has been solved in the literature with heuristic techniques such as genetic algorithms and local search algorithms. In this paper we propose two approaches to attack the hardness of this problem. The first approach is based on genetic algorithms and it yield to good results comparing to another work based also on genetic algorithms. The second approach is based on a new randomized algorithm which we call Multiple Impulse Method MIM, where the principle is to search codewords locally around the all-zero codeword perturbed by a minimum level of noise, anticipating that the resultant nearest nonzero codewords will most likely contain the minimum Hamming-weight codeword whose Hamming weight is equal to the minimum distance of the linear code.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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