Many practical engineering problems can be abstracted to corresponding function optimization problems.
许多实际工程问题可以抽象为相应的函数优化问题。
Until now there are many heuristic algorithms to solve function optimization problems.
目前已经有很多启发式算法用于解决函数优化问题。
Special function optimization problems with separable variables were defined and the peculiarity was analyzed.
同时定义并分析了变量可分离函数优化问题。
Solving multi -modal function optimization problems with constraints has an important practical meaning in scientific re-searches and engineering applications.
求解带约束的多峰函数优化问题在科学研究和工程应用中具有重要的现实意义。
For function optimization problems, according to the nature of the objective function domain, can be divided into discrete function optimization and continuous function optimization.
对于函数优化这个问题，根据目标函数定义域的性质，可以分为离散函数最优化和连续函数最优化。
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.
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。
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