将自适应的思想引入人工鱼群算法中,提出了自适应人工鱼群算法(AAFSA),并将其应用到多用户检测问题中,计算机仿真结果表明,新的算法在抗误码率,抗远近效应和收敛速度方面的性能较原来的算法都有了较大...
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性自适应人工鱼群算法 RAAFSA
为了克服这些缺点，本文对该算法进行了改进，得到两种自适应人工鱼群算法（AAFSA_FP和AAFSA_SP），并首次用其构建了新的多用户检测器。
To overcome these problems, two improved AFSA named AAFSA_FP and AAFSA_SP were proposed based on idea of adaptive. Then the new algorithms are applied to solve the multiuser detection problems.
针对基本人工鱼群算法存在的不足，根据高斯变异和历史最优鱼个体状态，提出自适应高斯变异人工鱼群算法。
Aiming at the disadvantages of Artificial Fish-School Algorithm(AFSA), this paper proposes a novel AFSA based on adaptive Gauss mutation and historical best fish.
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