The function optimization and knapsack problem show the effectiveness of PEA.
函数优化和背包问题实验验证了PEA的有效性。
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。
It is mostly used in the function optimization, engineering control and intrusion detection.
人工免疫系统现在更多的是被用于函数优化、工程控制及入侵检测方面。
The performance of DE algorithm is superior to other algorithm in numerical function optimization.
其中，差分演化算法在数值函数优化方面的性能要优于其它的优化算法。
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。
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。
The essential of planar location issue is nonlinear continuous function optimization under constrained condition.
平面选址问题实质上是带约束的非线性连续函数优化问题。
Has been widely used in function optimization, training neural networks, fuzzy systems control, and other fields.
目前已广泛应用于函数优化，神经网络训练，模糊系统控制等领域。
The mutation strategy was improved so that the optimized DE algorithm performance was further improved on function optimization.
通过对差分演化算法的变异策略改进，使优化后的差分演化算法在函数优化方面性能得到进一步提高。
The good result demonstrates that the algorithm on solving the function optimization problem is a kind of feasible and good new method.
得到了较好结果，表明此算法在求解函数优化问题上是一种可行的，优越的新方法。
An improved simplex method (ISM) based on Nelder and Meads simplex method (N-M SM) is presented for unconstrained function optimization.
针对无约束函数最优化问题，提出了一种能有效加快收敛速度的改进单纯形算法。
Ant colony algorithm is a new intelligent optimization algorithm for solving combinatorial optimization problem or function optimization problem.
蚁群算法是一种新型的用于求解组合优化或函数优化问题的智能优化算法。
Continous function optimization is very important for us and is also an important research domain of genetic algorithm's research and its application.
求解连续函数优化问题在实际生产生活中有着十分重要的意义，是遗传算法的研究与应用的一个相当重要方向。
GA is an appropriate choice to solve the problem of multi-parameter, large-scale and non-linear complex function optimization like camera calibration.
遗传算法非常适合于解决摄像机标定这类多参数、大范围、非线性的复杂函数优化问题。
Functional test result shows that this algorithm has higher convergence property, and it is suitable for solving complex function optimization problem.
函数测试结果表明，该算法具有较好的收敛性能，适用于求解复杂函数优化问题。
Recently, Particle Swarm optimization is applied into function optimization, Neural Networks, data mining, Fuzzy Control System and other application field.
目前微粒群算法已广泛应用于函数优化、神经网络训练、数据挖掘、模糊系统控制以及其他的应用领域。
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。
It makes a searching for all local optimization of the multimodal function that a PSO algorithm based on chaos sequence for multi-modal function optimization.
基于混沌序列的多峰函数微粒群寻优算法的目标就是找到多峰函数的所有局部优化峰值。
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。
Based on the analysis of multi-modal function optimization using evolutionary computation, a new multiple routes planner for unmanned air vehicles is proposed.
在分析多峰值函数优化问题的基础上，提出了一种基于进化计算的飞行器多航迹规划方法。
The simulation of some test function optimization using BCC algorithm shows BCC algorithm a kind of potentially powerful optimization method worth of much more research.
对不同函数优化试例的仿真表明细菌群体趋药性算法性能良好，是一种具有进一步研究价值的集群函数优化方法。
By simulating the antibody search mechanism, and combining the immune network theory, a new immune learning algorithm for multi-modal function optimization was presented.
模拟抗体搜索机制，结合免疫网络理论，提出一种新的优化算法。
By simulating the antibody search mechanism, and combining the immune network theory, a new immune learning algorithm for multi-modal function optimization was presented.
模拟抗体搜索机制，结合免疫网络理论，提出一种新的优化算法。
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