利用马尔科夫过程讨论了其迁移概率。
运用数学概率原理，通过两个实验研究了样例的变异性和编码方式对迁移的影响。
Using probability principle problems as the materials, the authors did two experiments to examine the effects of the variability and encoding of multiple examples on transfer.
以概率原理为材料，通过两个实验考察了样例的编码方式对问题解决迁移的影响及其心理机制。
Using the probability principle problems as the materials, two experiments had been conducted to examine the effects of the encoding of multiple examples on problem solving transfer and the process.
分析结果表明人口迁移算法依概率收敛到全局最优解。
It is proved that the algorithm converges to the global optimum in probability.
用概率论分析了新提出的求解函数全局优化问题的人口迁移算法的收敛性及动态特性。
The convergence property and dynamic characteristics of the newly proposed population migration algorithm for solving global function optimization problems are analyzed by means of probability.
用概率论分析了新提出的求解函数全局优化问题的人口迁移算法的收敛性及动态特性。
The convergence property and dynamic characteristics of the newly proposed population migration algorithm for solving global function optimization problems are analyzed by means of probability.
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