Search - evolutionary algorithms

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[assembly language] Genetic-Algorithms DL : 0: 遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题，一定数量的候选解（称为个体）的抽象表示（称为染色体）的种群向更好的解进化。-Genetic algorithm is used to solve computational mathematics in optimizing search algorithm, an evolutionary algorithm. Evolutionary algorithm was originally borrowed evolutionary biology and developed a number of phenomena, these phenomena, including genetics, mutation, natural selection and hybridization. Genetic algorithms are usually implemented as a way of computer simulation. For an optimization problem, a number of candidate solutions (called individuals) abstract representation of the population (called chromosomes) to better solution evolution.
Date : 2025-12-28 Size : 2kb User : james
[assembly language] DE DL : 0: 差分进化算法是一种新兴的进化计算技术它是由Storn等人于1995年提出的，和其它演化算法一样，DE是一种模拟生物进化的随机模型，通过反复迭代，使得那些适应环境的个体被保存了下来。-Differential evolution algorithm is a new evolutionary computation technique which is proposed by Storn et al in 1995, like other evolutionary algorithms, DE is a stochastic model for a simulation of biological evolution, through repeated iterations, which adapt to the environment of the individual is preserved.
Date : 2025-12-28 Size : 1kb User : 牛松鹏