基于置换编码的遗传算法的线性码最小距离计算
Minimum distance computation of linear codes via genetic algorithms with permutation encoding
摘要:
我们设计了一个探试法,一个遗传算法,用于计算有限域上线性码的最小距离的上界。利用行约化梯形,得到了问题的一种置换编码,使得其解的空间不依赖于基域的大小或码的维数.实际上,我们的方法的效率仅相对于代码的长度非多项式地增长。
英文摘要:
We design a heuristic method, a genetic algorithm, for the computation of an upper bound of the minimum distance of a linear code over a finite field. By the use of the row reduced echelon form, we obtain a permutation encoding of the problem, so that its space of solutions does not depend on the size of the base field or the dimension of the code. Actually, the efficiency of our method only grows non-polynomially with respect to the length of the code.
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