这里我们运用蚁群算法对问题进行求解找到最短的旅行路径。
Here we use the ant colony algorithm to solve the problem to find the shortest path to travel.
同时，针对求解这两个问题建立了一种新的算法。
Besides, a new algorithm is established for solving these two problems.
首次把遗传算法的理论和方法引入环境水力学反问题的求解中。
Genetic algorithms theory and method is first time being used to solve inverse problem of environmental hydraulics.
因此，应用该混合智能算法求解0 - 1背包问题是比较有效的。
Therefore, the hybrid intelligence algorithm is effective to solve 0-1 knapsack problems.
问题最后和初参数算法一样能归结为求解一个低阶代数方程组。
Finally, the problems can be reduced to solving a low order system of algebraic equations like the initial parameter algorithm.
求解机组组合问题的嵌入贪婪搜索机制的改进粒子群优化算法。
An improved particle swarm optimization algorithm embedded with greedy search for solution of unit commitment.
实例调度优化结果表明：改进遗传算法能有效求解产品装配优化调度问题，在产品装配生产中有一定的应用价值。
The optimization result of instance shows that the improved algorithm introduced can converge to the globally optimal solution effectively , it is valuable at product assembly scheduling.
分枝限界算法是一种求解组合优化问题的一般性方法，并行化是提高算法性能的有效手段。
Branch and Bound algorithm is a general method for solving Combinatorial Optimization Problems. Parallelization is an effective means to improve the algorithm performance.
在冷却过程数值模拟的基础上，采用遗传算法对该问题进行求解。
On the basis of numerical simulation of cooling process, we select GA to solve the problem.
利用网络流算法对广义运输问题进行求解。
In this paper, generalized transportation problem was solved by using networks method.
蚁群算法是一种新颖的求解复杂组合优化问题的模拟进化算法，它具有典型的群体智能的特性。
Ant Colony algorithm is a novel simulated evolvement algorithm solving complicated combinatorial optimization problem and its typical feature is swarm intelligence.
上述三种用于反演问题求解的算法已广泛地应用在地球物理求解中，已成为求解非线性反问题的有力数学工具。
The three algorithms mentioned above have been widely used in the solving of geo physical problems and are a powerful mathematical tool for nonlinear inversion problems.
基于这种分析，简化了优化问题的求解过程，给出一种快速有效的直接解析算法。
Based on the analysis, the optimization procedure is simplified and fast and efficient algorithm is given.
提出了一种用于求解传热与流动问题的新算法—SIMPLEXT方法。
A new method, SIMPLEXT, for heat transfer and flow field was proposed.
蚁群算法是一种新型的模拟进化算法，为求解复杂的组合优化问题提供了一种新的思路。
Ant colony system is a novel simulated evolutionary algorithm, which provides a new method for complicated combinatorial optimization problems.
针对工程中的优化问题，将粒子群算法与死亡罚函数法相结合，提出一种求解有约束问题的优化算法。
Aiming at the optimization problem in engineering, this paper proposes a new algorithm for con-strained optimization problem by combining PSO with death penalty.
因而具有“上山”性的随机类优化算法成为求解逆问题的主要数学工具。
Due to its character of "uphill climbing", stochastic optimization algorithm is widely used to solve inverse problems.
因而具有“上山”性的随机类优化算法成为求解逆问题的主要数学工具。
Due to its character of "uphill climbing", stochastic optimization algorithm is widely used to solve inverse problems.
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