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1)  initial population diversity
初始种群多样性
1.
An average hamming distance method was proposed for measuring the initial population diversity.
提出平均海明距离方法来度量初始种群的多样性,建立理论模型分析短周期PRNG(一种典型低质量PRNG)周期、GA个体编码长度等因素对GA初始种群多样性的影响规律。
2)  initial population
初始种群
1.
Study on the productive method on the initial population by using genetic algorithms to solve the constrained optimization problems;
用遗传算法求解约束优化问题时初始种群产生方法的探讨
2.
Research on initial population of genetic algorithm for short-term economic operation of hydropower systems;
水电系统经济运行中遗传算法初始种群研究
3.
Design the Initial Population of the GENOCOP Algorithm;
GENOCOP算法的初始种群的确定
3)  population diversity
种群多样性
1.
Genetic algorithm based on instructing by population diversity;
基于种群多样性指导的遗传算法
2.
To overcome premature searching by standard particle swarm optimization(PSO)algorithm for the great loss of population diversity,a novel adaptive PSO is proposed,which can dynamically change inertia weight coefficients by the measure of population diversity.
针对标准粒子群算法在进化过程中种群多样性降低而早熟的问题,提出了一种根据种群多样性测度动态改变惯性权重系数的自适应粒子群算法,该算法能够平衡算法的全局探索和局部开发能力,不仅有效地避免早熟,而且具有较快的收敛速度。
3.
Focusing on the problems existed in some adaptive genetic algorithms that cannot take acc ount of population features and are difficult to converge to optimal solution s tead ily, the reasons of stopping evolution or degeneration are analyzed in view of f itness average and population diversity.
针对现有自适应遗传算法无法兼顾群体特性 ,难以稳定地收敛到最优解的问题 ,从种群多样性和适应度均值变化的角度 ,分析了进化停滞或退化的原因 。
4)  diversity of population
种群多样性
1.
Based on the variance of fitness value, an index that can reflect the diversity of population in genetic algorithm is defined.
根据适应度的方差,定义了一种度量种群多样性的指标。
2.
A new index which can reflect the diversity of population in genetic algorithms, is defined in this paper and used to adjust the probabilities of crossover and mutation.
提出了一种度量种群多样性的新指标 ,将其应用于交叉概率和变异概率两个参数的自适应调整 ,再将自适应的思想和并行计算的思想结合起来 ,提出了一种在个人计算机上实现的改进自适应遗传算法 -自适应伪并行遗传算法(APPGA) 。
3.
We designed a migration operator and crossover operator based on diversity of population functions,and made dynamic adjustments on crossover and mutation probabilities.
为了改善遗传算法的收敛性能,提出了一种基于个体适应度的种群多样性度量函数,恰当地反映了遗传算法的进化阶段,预报了早熟收敛的趋势。
5)  population initialization
种群初始化
1.
An effective heuristic population initialization technology based on problem characteristic and solutions to overcome the premature convergence problem of the algorithm are studied.
提出了一种解决位置管理问题的差分进化算法,给出了一种将采用浮点编码的种群个体映射为问题解的方法、基于问题特性的种群初始化启发式方法,以及早熟收敛问题的解决策略。
2.
An effective heuristic population initialization technology based on problem characteristic and solutions to overcome the premature convergence problem of the algorithm were studied.
提出了一种解决位置管理问题的离散差分进化算法,给出了种群的离散编码方法和一种新的变异操作机制,提出了基于问题特性的种群初始化启发式方法,以及早熟收敛问题的解决策略。
6)  Community species diversity
群落物种多样性
1.
A conservation priority evaluation system of the secondary natural units within a nature reserve based on community species diversity;
自然保护区次级自然单元群落物种多样性优先保护评价体系构建
补充资料:初始
初始(或写作始初,8年十一月)是西汉时期孺子婴的第2个年号,也是他的最后一个年号,共计1个月。初始元年十二月王莽即位,建立新朝,以初始元年十二月朔癸酉为正月之朔,改元始建国,西汉灭亡。

《资治通鉴》写作“始初”,《汉书·王莽传》作“初始”。居延汉简则也是“初始”,另外有出土记为初始元年的文物。

中央研究院之两千年中西历转换将初始元年十一月作西元8年12月17日。初始年号终结于9年1月14日。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条