1) multi-subpopulation cooperation
多子人口群协作
1.
A novel multi-subpopulation cooperation genetic algorithm is put forward and analyzed here in detail,in which the enforced subpopulation technique improves the diversity of the population to avoid premature stop and immunization technique decreases the searching space and t.
针对基本遗传算法对航天器拦截轨道数值优化计算效率较低的问题,提出了一种新的基于多子人口群协作进化的算法。
2) sub-group collaboration
子群协作
1.
To solve the models,it presented a dynamic particle swarm optimization algorithm based on sub-group collaboration.
分析并构建了库存不足条件下车辆路径问题的数学模型;在模型的求解上,提出一种基于子群协作的动态粒子群算法;最后通过算例实验表明:该算法能有效克服标准粒子群算法迭代寻优时选择步长的盲目性,也改善了算法求解时容易陷入局部最优、导致早熟的缺陷,具有较强的全局寻优能力,收敛速度快,计算精度高。
3) cooperative multi-swarms
多种群协作
1.
For optimizing nonuniform arrays with constraints,this paper introduced a dynamic bound particle swarm optimization algorithm,and improved stability in the optimization process with cooperative multi-swarms.
为了有效解决孔径约束的非均匀线阵天线优化问题,提出一种动态边界计算的粒子群算法,并在优化过程中利用多种群协作提高优化稳定性。
4) Multi-swarm Cooperative PSO(MCPSO)
多群体协作PSO
5) A subset of some population.
一些人口的子群.
6) multi-robot cooperation
多机器人协作
1.
Analysis and experimental design of multi-robot cooperation;
多机器人协作技术分析及其实验系统设计
2.
To solve the problem of task allocation in multi-robot system,hybrid control architecture based on centralized control and distributed control is applied to accomplish multi-robot cooperation in task level.
多机器人协作是当前机器人学和人工智能的研究热点之一。
3.
Multi-robot cooperation is one of the important methods to resolve some problems that are complex, real time and collateral.
多机器人协作是解决一些复杂的、需要高效率的、并行完成的任务的重要方法之一,因此对它的研究正受到越来越多的关注。
补充资料:无多子
1.没有多少。
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