linear inheritance

On nonlinear genetic algorithm based on Tabu search;

一种结合Tabu搜索的非线性遗传算法研究

By extending the search capability of genetic operators, a new nonlinear genetic algorithm (NGA) is introduced in which a new dynamic double nonlinear crossover operator and a new mutation operator based on chaos technique are given.

为此,通过拓展遗传算子的搜索范围,提出了一种动态双层非线性杂交算子,并将混沌搜索引入变异算子,从而给出了一种求解数值优化问题的非线性遗传算法。

To solve the model,first some methods are used to cluster the charges,then the nonlinear genetic algorithm based on Tabu search technique is proposed to evolution.

在对连铸生产工艺背景及工艺约束进行分析的基础上,以使所有连铸机上组成每一个浇次的炉次之间因差异引起的费用最小为目标函数,构造了最优浇次的数学规划模型,并基于该模型,提出了先将所有待优化的炉次聚类成若干个浇次(浇次数已知),然后对每个浇次应用基于Tabu搜索的非线性遗传算法,仿真结果表明该算法的有效性。