查询词典 discrete optimization problem

For solving Multi-objective and multi-restriction optimization problem , this paper used non-dominated ranking method, elitist preserve strategy, niche approaches, and presented an individual vector module adaptive function as wash out rule, then an improved Pareto multi-objective optimization with genetic algorithm was found.

为解决含多个目标和多约束的优化问题，本文结合了非支配排序思想、精英保留策略，小生境技术，并对传统的小生境技术中基于个体适应度的淘汰技术进行改进，提出了一种向量模适应度函数来作为淘汰准则，得到一种改进的Pareto遗传多目标优化算法。

Finally a comparison of optimization results between complex method and genetic algorithm is carried out, which shows the value of objective function ha s decreased 6.6% under GA. This will help decrease the slippage of steering whee l and wear extent of tyre. At the same time, it also verifies the feasibility an d superiority of genetic algorithm in solving the nonlinear optimization problem s with many restraints and variables.

计算结果表明：与复合形法相比，遗传算法使目标函数值减少了6.6%，取得了较好的优化效果，从而更有利于减小转向车轮的滑移量和轮胎的磨损量，同时也验证了遗传算法解决多约束、多变量类型优化问题的可行性和优越性。

In allusion to the NP complete problem of multi objective optimization of QoS routing, the purpose of this paper is to find the most optimum solution of the routing optimization in a sense of Grey fuzzy within multinominal time.

针对QoS路由多目标优化的NPC问题，希望在多项式时间内找到QoS路由多目标优化在灰色模糊意义下的最优解。

The objective function of the combination optimization problem is set and an improved mutative scale chaos optimization algorithm is employed to search global optimal value. Thereby the optimal parameters combination are obtained.

对组合优化问题建立目标函数，采用一种改进的变尺度混沌优化算法来搜索全局最优值，从而得到最优的参数组合。

Thismethod can resolve the near-far problem, and make the system need lower request forthe power control. So we can utilize the uplink frequency spectrum resourcesefficiently and enlarge the system capacity saliently. In 1995, Eberhart and Kennedy reported that the particle swarm optimization algorithm was a parallel optimization.

粒子群优化算法是1995 年由美国的Eberhart 和Kennedy 提出的是一种高效的并行优化算法，简单容易实现同时又有深刻的智能背景，一经提出立刻引起了演化计算等领域的学者们的广泛关注，并在短短几年时间里出现大量的研究成果形成了一个研究热点。

Quasi-convex relaxation algorithm, which aims to solve ordinary constraint global optimization problems, is produced by a combination of branch-and-bound method with quasi-convex lower bound and quasi-concave upper bound functions developed from quasi convex-concave extension. This algorithm extends the interval algorithm with box constraint to general constraint global optimization problem.

利用拟凸-凹扩张中构造出的函数的拟凸下界函数和拟凹上界函数，与分枝定界方法相结合，建立了求一般约束全局优化问题的拟凸松弛算法，这一算法是将盒子约束的区间算法推广到一般约束优化问题中。

The adaptability of arch dam to geology is more and more high, when the influence of complicated geology is considered, and the widespread used modern calculating methods in engineering, such as the finite element method, is considered during optimization design, the new challenge to old optimization design system of crown cantilever analysis is the full-automatic calculation problem of the different condition, different arch dam parameter, the possibility and the efficiency which were caused by the increments of calculation time.

高拱坝设计对地质条件的适应性要求越来越高，优化设计时要考虑到复杂地质条件的影响，最好采用已被工程界普遍接受的有限单元法等现代计算方法，这对以拱梁分载法为主的拱坝优化设计体系提出了新的挑战，除了需要解决不同条件、不同拱坝参数的全自动计算问题，还要解决由于结构计算时间增加所带来的优化计算的可行性和效率问题。

the effect of inertia weight on particle swarm optimization is studied,on basis of which adopts four kinds of strategies of inertia weight to regulate the speed of a new quantum delta potential well based particle swarm optimization.a faster and more stabile algorithm,found by comparing the performances of four equations regulated the inertia weight,solves 0/1 knapsack problem.the result of experiment shows that the modified algorithm improves the precision of optimal solution and has a faster speed and a higher efficiency in convergence.in a word,choosing a parameter of inertia weight suitably can improve the performance of new qdpso.

摘 要：在研究惯性权重对基本pso算法影响的基础上，根据惯性权重对粒子群算法影响的特点，采用4种惯性权重策略对一种新的具有量子行为的粒子群算法的速度进行调节，比较每种算法的性能，从中找到一种新的性能更好的改进算法，将其用于求解0-1背包问题。实验结果表明较好地选择惯性权重参数对算法的性能有很大提高，该改进算法在求解0-1背包问题中具有高效性，提高了最优解的精度，同时具有较快的收敛速度。

Three optimization algorithms such as linear programming, complex algorithm and genetic algorithm, corresponding to three kinds of models were used to solve the optimization problem according.

针对装置不同的数学模型我们分别采用线性规划、复合形调优法、遗传算法作为优化方法，又对复合形调优法、遗传算法进行了相应的改进得到了相应的计算结果。

For one-dimension optimization problem, stage pressure ratio and flow angles at the stator trailing edges, solidities at the stator and rotor trailing edges are considered as design parameters, To demonstrate feasibility of the present method, a multiobjective optimization of a six-stage compressor design was performed for maximization of the overall isentropic efficiency and the total pressure ratio, It obtained dozens of reasonable and uniformly distributed Pareto-optimal solutions that outperformed the baseline design in both objectives.

对于一维优化问题，以某六级高压压气机为对象，选取各级的级压比和静子出口气流角以及转子、静子的稠度为变量，得到了几十个在两个目标上均优于初始设计的Pareto最优解。

The teacher likes the honeymouthed little girl very much.

老师很喜欢这个嘴甜的小姑娘。

Mr. Notker Bien's interests are traveling, spending quality time with the family and long-distance-running.

诺特卡·柏恩先生热爱旅游，长跑，以及和家人一起共度美好时光。