Multi - colony diploid immune algorithm for better job - shop scheduling 调度问题的多种群双倍体免疫算法研究
The second meiotic division thus gives rise to two cells with the diploid number of chromosomes , one of which divides parthogenetically to form an cmbryo 在第二次减数分裂中上升为两个细胞包含双倍体的染色体数目,其中的一个分裂形成胚胎。
The pollen grain germinates on a special extension of the carpel , the stigma , and double fertilization results in a diploid zygote and triploid ( usually ) endosperm nucleus 花粉粒在柱头上萌发,双受精导致双倍体的合子和三倍体的胚乳形成。
Then , the algorithm was applied to solve the mofjs problem in chinese aviation manufacturing enterprises , and the optimization scheduling solution was obtained 提出了双种群双倍体自适应免疫算法,并用该算法求解某航空制造企业的多目标柔性作业车间调度问题,得到了优化调度方案。
Router congestion control strategies are also proposed . secondly , a new multicast routing algorithm based on double chromosomes genetic algorithm is realized . the simulation results show that this algorithm can get better convergent effect and select best routing under proper system parameters 然后重点介绍了本文提出的一种基于双倍体遗传算法的组播路由算法,仿真结果表明该算法能够在参数(种群规模、浙江工业大学硕士学位论文摘要交叉率及变异率)选择适当的情况下,取得较好的收敛效果,并可以确定最优路由。