Optimization methods, the theory and algorithm of solving optimization problems, can be divided into two parts, the traditional optimization algorithms and intelligent optimization algorithms.
最优化方法是解决最优化问题的理论和算法，主要包括传统优化算法和智能优化算法两大类。
Then the methods of fuzzy optimization and evolution programming are adopted to study the portfolio investment under a new risk concept, and an algorithm for solving the problem is given.
运用模糊优化和进化规划方法，研究新风险概念下的模糊证券组合选择，并给出了其相应算法。
The conjugate gradient method is one of the most efficient methods for solving unconstrained optimization problems.
共轭梯度法是求解无约束优化问题的一类有效方法。
Pr conjugate gradient method is one of the efficient methods for solving large scale unconstrained optimization problems, however, its global convergence has not been solved for a long time.
PR共轭梯度法是求解大型无约束优化问题的有效算法之一，但是算法的全局收敛性在理论上一直没有得到解决。
BFGS algorithm is one of the most effective methods in solving the non-constrained optimization problems.
BFGS算法是解无约束优化问题的公认的最有效的算法之一。
Three kinds of trajectory optimization methods including Indirect method, Hybrid method and Gauss pseudospectral method, as well as solving thoughts were given in this paper.
本文给出三种求解轨道优化设计问题的方法（间接法、混合法和高斯伪谱方法）及求解思路。
Finally, it also introduces the purchase shipping management of KG China Corporation and optimization methods for solving the purchase shipping management.
最后介绍了KG中国公司的采购运输管理，提出了解决目前采购运输的优化策略。
Particle swarm optimization (PSO) algorithm is one of the most powerful methods for solving unconstrained and constrained global optimization problems.
粒子群优化算法(PSO)是一种有效的随机全局优化技术。
Introduce main problems of Constained Optimization and methods to solve them. Using immune computing algorithm for solving nonlinear programming problem.
介绍了约束条件的函数优化的主要问题及处理约束的解决方法，针对一般性非线性规划问题，采用免疫算法来进行处理。
Introduce main problems of Constained Optimization and methods to solve them. Using immune computing algorithm for solving nonlinear programming problem.
介绍了约束条件的函数优化的主要问题及处理约束的解决方法，针对一般性非线性规划问题，采用免疫算法来进行处理。
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