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1)  modified plant growth simulation algorithm
改进模拟植物生长算法
2)  plant growth simulation algorithm
模拟植物生长算法
1.
The Location Allocation of Logistics Center of Perishable Products Based on Plant Growth Simulation Algorithm
基于模拟植物生长算法的易腐物品物流中心选址
2.
Fault location of distribution network based on plant growth simulation algorithm
基于模拟植物生长算法的配电网故障定位
3.
A plant growth simulation algorithm (PGSA) is used to optimize the objective function from both time and space synchronously, which avoids separating the optimization problem into two sub-problems of switching time optimization and capacity optimization.
采用模拟植物生长算法同时从时间和空间两个角度对目标函数进行整体优化,避免了将其分解成动作时间和投入容量两层优化问题进行求解。
3)  plant growth simulation
植物生长模拟
1.
Based on the initial status of plant, environmental factors and growth rules of plant, the plant growth simulation can calculate out the physiological and geometric attributes of plant in each of the physiological stages during the growth process.
植物生长模拟与可视化是虚拟植物研究中最重要的两个关键技术,也是虚拟植物研究的核心问题。
4)  improved genetic simulated annealing algorithm
改进遗传模拟退火算法
1.
A route planning scheme for UAV based on improved genetic simulated annealing algorithm was presented,which looks quite promising for the route planning problem.
建立了基于真实地形数据和火力威胁区的航迹规划空间模型,结合具有概率突跳特性的模拟退火和群体并行搜索的遗传算法的特点,提出了一种改进遗传模拟退火算法的飞行器航迹规划方法。
2.
It presents that the improved genetic simulated annealing algorithm is used to solve this problem.
以分段开关加入后配电系统的可靠性成本和可靠性效益为目标函数,计及分段开关的年投资、年维护费用、系统停电损失等综合费用和相关技术约束,建立了配电网线路分段开关的优化规划模型,提出用改进遗传模拟退火算法来求解的研究思路,把遗传算法全局搜索能力强与模拟退火算法局部搜索能力强的特点结合起来,提高了算法的局部寻优能力,有效地解决了早熟现象,具有很好的全局收敛性。
5)  modified simulated annealing algorithm
改进模拟退火算法
1.
Reactive power optimization of power system based on modified simulated annealing algorithm;
基于改进模拟退火算法的电网无功优化
2.
The paper puts forward a new modified simulated annealing algorithm,which is used for mobile robot path planning.
提出了一种新型改进模拟退火算法,对移动机器人路径进行了全局优化。
6)  Improved Simulated Annealing Algorithm (ISAA)
改进的模拟退火算法(ISAA)
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