Among classical optimization algorithms, progressive optimality algorithm is widely applied.
在经典算法中，逐次规划法的应用较为广泛。
Some problems have been found in classical optimization methods to solve high dimension, multi-modal and other complex systems.
传统的优化方法在处理大维数、多模态等复杂问题上存在诸多不足。
This paper surveys the application of classical optimization theory, artificial intelligent and neural network to FMS's control.
本文详细分析和研究了传统的优化理论、人工智能和神经网络在FMS优化控制中应用的适应性及各自的特点。
The TSP problem is considered as classical optimization grouping problem, which is widely used in practice, but it is real a difficult NP problem.
旅行商问题作为经典的组合优化问题，实际中的应用非常广泛，但它却是一个NP完全问题。
At present, there are many methods which are used for the optimal capacitor placement, such as Classical Optimization Algorithm, Artificial Intelligence and Hybrid Algorithm.
目前有多种配网无功规划优化方法，可分为传统优化算法、智能优化算法和混合法。
The maximum flow problem is a classical combinatorial optimization problem.
最大流问题是一类经典的组合优化问题。
The result discovered that, regarding this kind of large molecular cluster of structure optimization, we can very effectively find the local energy minimum by classical molecular dynamics.
结果表明，对于这种大的分子团簇的结构优化，经典分子动力学能很有效地找到体系局部势能极小值。
The classical Particle swarm optimization (PSO) algorithm is a powerful method to find the minimum of a numerical function, on a continuous definition domain.
经典的粒子群优化算法是一个在连续的定义域内搜索数值函数极值的很有效的方法。
The maximum flow problem is one of the classical combinatorial optimization problems.
最大流问题是一个经典的组合优化问题。
Based on the ant colony optimization idea, this paper presents a new algorithm for the classical knapsack problem.
针对经典的背包问题，给出一种新的基于蚂蚁优化思想的求解算法。
A new technique named local aperture grid optimization arithmetic was presented to improve the efficiency of the classical method.
为改善计算效率，提出了一种局部口面网格优化算法对射线追踪法进行改进。
The maximum clique problem is one of the classical NP-complete problems from combinatorial optimization.
最大团问题是组合优化中的一个经典的NP -完全问题。
Scheduling is an important combinatorial optimization problem. The modern scheduling problems that break through the various assumptions of the classical ones hold out more and more broad prospects.
排序问题是一类重要的组合优化问题，现代排序问题突破了经典排序问题的种种假设，有着越来越广阔的应用前景。
TSP is a combinational optimization problem which has wide application background and important theory value, and it belongs to classical NP problem.
TSP问题是一个具有广泛的应用背景和重要理论价值的组合优化问题，属于典型的NP问题。
In this paper, we summarize some classical multiple objectives optimization and decision making methods, and then introduce the research progress of 'his area in evolutionary field.
本文介绍了传统多目标优化与决策的研究和国内外在进化多目标优化与决策方面的研究进展。
The first way is classical and consists of determining the parameters of the empirical expressions of the growth rate through the use of a nonlinear programming(NLP)optimization technique.
本论文采用两种方法来描述晶体生长率模型的设计，第一种方法是通过采用非线性规划最优化方法（NLP）决定晶体生长率经验公式的参数；
One advantage of multi-objective genetic optimization algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their single run.
多目标遗传优化算法的一个优点就是可在一次迭代计算中寻找到问题的多个非劣最优解。
One advantage of multi-objective genetic optimization algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their single run.
多目标遗传优化算法的一个优点就是可在一次迭代计算中寻找到问题的多个非劣最优解。
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