1) intergeneration projection genetic algorithm
隔代映射遗传算法
1.
Self-adaptive intergeneration projection genetic algorithm was developed to make the crossover probability and mutation probability adjust to the current individual fitness in the population.
提出了自适应隔代映射遗传算法,使种群的交叉和变异概率根据适应度的大小自我调节,该算法经过了测试函数的测试。
2.
A multiple-deme parallel genetic algorithm based on the intergeneration projection genetic algorithm was suggested to solve the complex optimal problems.
针对传统遗传算法解决大规模复杂问题效率比较低的问题,提出了一种并行隔代映射遗传算法。
2) contractive mapping genetic alogorithm
收缩映射遗传算法
3) pricipal component analysis(PCA)
压缩映射递阶遗传算法
4) Contraction mapping GA
压缩映射遗传算法
6) iterative genetic algorithm
迭代遗传算法
1.
To solve dynamic optimization problems of chemical processes with numerical methods, a new algorithm,iterative genetic algorithm (IGA) was developed, of which the main idea was to iteratively call genetic operations and gradually approximate the optimal control profile.
针对化工动态优化的数值求解问题 ,提出将迭代思想与遗传操作相结合 ,构建迭代遗传算法 。
补充资料：隔代
1.犹隔世。
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