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。
In this paper, a filled function method for solving global optimization problems with inequality and equality constraints is proposed.
提出了一种解决含有等式约束及不等式约束的全局优化问题的填充函数方法。
Then, we consider a new filled function method with parameter free for solving general global optimization problems.
然后，对于一般结构的全局优化问题，我们给出了一个新的无参数的填充函数方法。
This paper proposes a new global optimization technique in which combines the filled function method and BP algorithm for Training feedforward neural networks.
把填充函数法与BP算法相结合，提出一种训练前向神经网络的混合型全局优化新算法。
In this paper, a new auxiliary function with one parameter on box constrained for escaping the current local minimizer of global optimization problem is proposed.
本文首先对箱子约束全局最优化问题提出了一个新的辅助函数，该函数能跳出当前的局部极小点。
A new filled function with one parameter is used to find a global minimizer for unconstrained global optimization problems.
考虑用单参数填充函数求解无约束全局优化问题。
Particle Swarm optimization (PSO) algorithm is a population-based global optimization algorithm, but it is easy to be trapped into local minima in optimizing multimodal function.
粒子群优化算法应用于多极值点函数优化时，存在陷入局部极小点和搜寻效率低的问题。
The proposed adaptive optimization method has been validated using several analytic function tests. Numerical results show that the algorithm has the property of fast global searching.
利用解析函数对上述自适应优化方法进行了验证，算例结果证明了该算法的全局搜索和快速寻优能力。
Through the three criteria function optimization experiments show the efficiency of the algorithm, improving the stability of global optimization capability.
通过对三个标准函数优化的实验表明，该算法高效、稳定地提高了全局寻优能力。
Theoretical properties of the filled function are investigated, and an algorithm for constrained global optimization problem is developed from the filled function.
之后我们分析并证明了这类填充函数的性质，并依据其填充性质建立了相应的填充函数算法。
Theoretical properties of the filled function are investigated, and an algorithm for constrained global optimization problem is developed from the filled function.
之后我们分析并证明了这类填充函数的性质，并依据其填充性质建立了相应的填充函数算法。
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