1) Pareto tournament selection operator
Pareto锦标赛选择算子
1.
In this algorithm,a new Pareto tournament selection operator based on arena\'s principle is used to avoid the difficulty of solving non-convex problems;meanwhile,the nearest-neighbor algorithm and sweep algorithm are adopted to initialize population,and heuristic crossover operator is introduced to accelerate the convergence speed.
该算法引入基于擂台法的Pareto锦标赛选择算子,避免了求解非凸解的困难。
2) tournament selection
锦标赛选择
1.
Stochastic particle swarm optimization algorithm based on genetic algorithm of tournament selection;
基于锦标赛选择遗传算法的随机微粒群算法
2.
The roulette wheel selection strategy and tournament selection strategy in genetic algorithm(GA) are taken as examples and their performance is investigated on 13 benchmark functions.
以遗传算法中的轮盘赌选择策略和锦标赛选择策略作为研究对象,通过在13个基准测试函数上的测试,对不同选择策略的性能进行了比较和分析。
3) tournament selection method
锦标赛选择机制
1.
Considering that PSO is easy to trap in local optima and can t find the optimal solution efficiently,the paper proposed a modified particle swarm optimization(MPSO) algorithm,by introducing the tournament selection method and also a self-adaptive inertia weigh into the basic PSO.
本文在基本算法的基础上引入锦标赛选择机制和自适应惯性权重因子,提出了改进微粒群算法(MPSO)。
4) selection method with tournament of three copies
三复本锦标赛选择方法
5) tournament algorithm
锦标赛算法
1.
Then,the AGA is brought into evaluation function to automatically adjust and optimize the parameters combination of evaluation function by tournament algorithm.
将博弈问题分解为搜索引擎、走法生成、评估函数和开局库四大模块,然后将自适应遗传算法引入到评估函数中,通过锦标赛算法对评估函数中的参数组合进行自动调整和优化。
6) geometrical Pareto selection
几何Pareto选择
1.
A new algorithm based on particle swarm optimization is discussed,which uses geometrical Pareto selection algorithm as archiving algorithm for improving the speed and uses multiple-direction search for seeking extreme points.
探讨了利用粒子群算法求解多目标优化问题,为了提高算法速度,采用了几何Pareto选择算法作为文档算法,用多方向搜索的办法寻找极端点。
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性质:蓝色均匀粉末。
制备方法:暂无
用途:主要用于染料或染料中间体的生产。
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