提出了一种求解约束函数优化问题的方法。
A new approach is presented to handle constraints optimization using evolutionary algorithms.
同时定义并分析了变量可分离函数优化问题。
Special function optimization problems with separable variables were defined and the peculiarity was analyzed.
许多实际工程问题可以抽象为相应的函数优化问题。
Many practical engineering problems can be abstracted to corresponding 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。
Until now there are many heuristic algorithms to solve function optimization problems.
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。
The essential of planar location issue is nonlinear continuous function optimization under constrained condition.
针对多极值连续函数优化问题，提出了一种自适应蚁群算法。
An adaptive ant colony algorithm is presented for the optimization of multi-minimum continuous function.
使用遗传模拟退火算法来实现含水层参数反演的函数优化问题。
The genetic-simulated annealing algorithm is applied to resolving the functional optimization problems of identifying the aquifer parameters.
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。
Ant colony algorithm is a new intelligent optimization algorithm for solving combinatorial optimization problem or function optimization problem.
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。
Solving multi -modal function optimization problems with constraints has an important practical meaning in scientific re-searches and engineering applications.
实验结果表明，改进的混合蛙跳算法对复杂函数优化问题具有较强的求解能力。
The experimental results show that the improved SFLA has a better capability to solve complex functions than other algorithms.
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。
Functional test result shows that this algorithm has higher convergence property, and it is suitable for solving complex function optimization problem.
论文借鉴免疫反应机理，提出一种用于求解动态环境下函数优化问题的免疫算法。
In this paper, an optimization algorithm for time-varied functions optimization referring to immune optimization mechanism is presented.
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。
The good result demonstrates that the algorithm on solving the function optimization problem is a kind of feasible and good new method.
借鉴生物免疫系统优化机理，构造一种人工免疫系统，用于求解时变函数优化问题。
Referring to immune optimization mechanism, an artificial immune system for time-varied functions optimization is presented.
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。
GA is an appropriate choice to solve the problem of multi-parameter, large-scale and non-linear complex function optimization like camera calibration.
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。
Based on the analysis of multi-modal function optimization using evolutionary computation, a new multiple routes planner for unmanned air vehicles is proposed.
针对多峰函数优化问题，借鉴粒子群优化特性和免疫网络理论，提出一种免疫粒子群网络算法。
Referred to the character of particle swarm optimization and immune network theory, an immune particle swarm network algorithm for multimodal function optimization is proposed.
以局部演化的方式，实现了种群间分离与种群内自聚集，使多峰函数优化问题转化为单峰函数优化问题。
The separation among populations and the adaptive-gathering in a population are achieved by local evolution, so the multi-model function optimization is transformed to unimodal function optimization.
粒子群算法在求解连续函数优化问题中取得了广泛的应用，但是其在离散的组合优化问题中的运用还比较少。
Particle swarm optimization is widely used to solve continuous function optimization issue, but its application in discrete combination optimization problems is still relatively few.
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。
Continous function optimization is very important for us and is also an important research domain of genetic algorithm's research and its application.
典型函数优化的仿真结果表明，该算法具有寻优能力强、搜索精度高、稳定性好等优点，适合于工程应用中的函数优化问题。
Experimental simulations shows that the proposed algorithm has powerful optimizing ability, good stability and higher optimizing precision, so it can be applied in optimization problems.
本文就此提出一种新的解决连续函数优化问题的连续型蚁群算法，它具有简单易实现且计算效率高等特点，特别适用于复杂工程优化问题。
Thus, such searches are typical optimizations of complicated continuous functions. A new method namely Continuous Ant Colony Algorithm is introduced to solve this problem.
一次只尝试放松每个边界约束一个单位，解决修改后的问题，看一下目标函数的优化值发生了什么变化。
Try relaxing the value of each bounded constraint one at a time, solve the modified problem, and see what happens to the optimal value of the objective function.
有关问题和目标函数优化值的信息。
Information about the problem and the optimal value of the objective function.
分段开关优化配置是一种以可靠性费用最小为目标函数的组合优化问题。
Optimal placement of switch device is a combinatorial optimization problem with reliability cost objective function.
分段开关优化配置是一种以可靠性费用最小为目标函数的组合优化问题。
Optimal placement of switch device is a combinatorial optimization problem with reliability cost objective function.
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