优化问题

In order to solve the temperature optimization Control for basification Tower in complicated bleaching process, the optimization control strategy is analyzed. To avoid trapping at local optimization effectively, the improvement method for standard genetic algorithm is proposed.

摘 要：针对工艺复杂的漂白工段碱化塔温度控制优化问题，分析了碱化塔温度优化控制策略，提出了标准遗传算法的改进方法IGA，有效避免了标准遗传算法寻优过早陷入局部最优解问题。

The membership function can exactly express the fuzzy satisfaction set by considering the vagueness of satisfaction degree of objectives and introducing the membership function for the fuzzy satisfaction sets of system reliability and system cost. The normal distribution and Cauchy distribution of this membership function is modified according to the fuzzy satisfaction sets. By doing this, the multi-objective optimization problem can be converted to a single-objective optimization problem to be solved.

模型充分考虑到目标满意度的模糊性，通过引入系统可靠度与费用的模糊满意集的隶属函数，并根据它们的模糊满意集对其正态分布、柯西分布进行适当修改，使之能够准确表达通常情况下的这两个目标的模糊满意集，最终，把两目标优化问题转化为常规单目标优化问题求解。

In the optimization problem, the more common is combinatorial optimization problem.

在优化问题中，比较常见的是组合优化问题。

First, the original problem is changed into a class of combinatorial optimization problem.

将结构优化问题转化为一类组合优化问题。

Job-shop scheduling is a typical combinatorial optimization problem, and large scale scheduling optimization is one of such difficult optimization problems.

作业车间调度是一种典型的组合优化问题，大规模的调度优化是该类问题的难点。

Based on analyzing the problems,we propose an evolutionary algorithm by using niches technology and multi-parent-crossover technology to experiment on complex multimodal function optimization with samples.

在分析了简单遗传算法求解带约束的多峰值函数优化中存在的问题的基础上，提出了利用小生境技术和多父体杂交的演化算法，对复杂的多峰值函数优化问题进行了测试，证实该算法能够快速求出多峰函数的所有全局最优解，而且搜索效率高，达到了令人满意的效果。

In addition, the transition from statistical optimization of simulated annealing to deterministic optimization of simplex method is also taken to shorten run time. Secondly, two methods are used to automatically synthesize cell-level analog circuits, which include equation-based method and simulation-based method.

具体来讲，采用对解空间进行划分、并多区间优化的方法来解决多维下降单纯形算法的全局优化问题；采用求解好的迭代起始点、并由"统计优化"向"确定性优化"过渡的方法来加速模拟退火法的收敛速度。

The principle of Immune Genetic Algorithms, the modeling, and calculation processes are introduced, and the optimization calculation of the mathematical model of pile driver vibrator of flood control is carried out by application of the method.

这些算法的共同之处是都属于随机优化方法，是一种非确定性的优化方法，与确定性的优化算法相比，非确定性算法的优点在于它有更多的机会求得优化问题的全局最优解。

In this thesis, we mainly study the theory of vector optimization in three aspects: the spectral scalarization of Euclidean Jordan algebra vector optimization, the robust methods for solving uncertain multiobjective linear optimization problem and the application in game theory.

本文共分四章，主要致力于向量优化三个方面的研究：欧几里德若当代数向量优化的谱标量化、不确定多目标线性优化问题的鲁棒方法和向量优化在对策论中的应用。

However, the quasi-human method can give us good strategies for jumping out of a trap of local minimum with the help of human beings\' behavior and experiences.A new 3-dimensional real Euclid model is proposed for the protein structure prediction problem. Then a quasi-physical method based on corresponding physical model is presented to solve the relevant mathematical problem.

拟物方法将原始问题落实为优化问题，而在用数学方法求解优化问题时，常常会碰到计算落入目标函数局部极小值陷阱的困境，如何从这种困境中逃逸出来，使得计算奔向前景更好的区域，拟物方法则无能为力，而应用拟人方法则可以设计出好的&跳出陷阱&的策略。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。