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- Fuzzy dynamic penalty function Gas and its application to optimum design of reinforced concrete beam 模糊动态罚函数遗传算法及其在钢筋混凝土梁优化设计中的应用
- fuzzy dynamic penalty function 模糊动态罚函数
- dynamic penalty function 动态罚函数
- H.-T. Yang and K.-Y. Huang, “Direct load control using fuzzy dynamic programming”, IEE Proc.-Gener. Transm. Distrib., Vol. 146, No. 3, May 1999. 张明吉，“冷气机之节约电力需量控制法则”，电机月刊，第九卷，第七期，页244-249，七月，1999。
- Finally, this algorithm is applied to some test problems and it has the better results than using the penalty function algorithm. 最后，本算法应用于几个典型例题，并与罚函数法相比较，数值结果表明该算法是可行的，有效的。
- H.-T.Yang and K.-Y.Huang, “Direct load control using fuzzy dynamic programming”, IEEE Proc.-Gener.Transm.Distrib., Vol. 146, No. 3, May 1999. 杨正光，陈嘉裕，“直接控制负载管理策略应用”，台电工程月刊，第584期，页82-96，民国86年4月。
- In this paper, we try to apply Binary System Particle Swarm Optimization (BSPSO) with death Penalty function to solve 0/1 knapsack problem. 摘要将带有死亡罚函数的二进制粒子群优化算法应用于0/1背包问题。
- Penalty function method for solving constrained (minimum) optimization problem of a class of better algorithms. 罚函数方法是求解约束（极小）优化问题的一类较好的算法。
- Furthermore.The theory about penalty function method of bilevel multiobjective programming is established. 在单层化的基础上，建立了两层多目标规划的罚函数理论。
- This paper provides a multistage multi-object fuzzy dynamic decision-making model, which can be used in the assignment of the antimissile resource effectively. 应用多阶段多目标模糊动态决策模原理于反导资源分配方案的选优。
- Firstly, we can convert the constraint LMIP into unconstraint one by using the penalty function. 通过构造一种罚函数化有约束的LMIP为无约束或简单约束的LMIP。
- A novel control scheme is proposed based on fuzzy performance evaluator (FPE) for a class of nonlinear time-delay systems described with fuzzy dynamic model. 针对一类用模糊动态模型描述的非线性时滞系统,提出一种基于模糊性能评估器的新型鲁棒控制方案。
- In the Genetic Algorithm, penalty function is often used to deal with constrains. 摘要在遗传算法中，约束的处理一般采用罚函数法。
- Combined with exact non-differentiable penalty function, a new chaos genetic optimization algorithm is presented. 并结合精确不可微罚函数求解非线性约束优化问题，提出了求解此类问题的混沌遗传算法。
- An improved dynamic penalty method is applied to transform the constrained structural optimization problem into an unconstrained problem for the optimization procedure using genetic algorithms. 首先以一个改良式动态惩罚法，将具有限制条件的结构最佳化问题转换成无限制条件之问题，以便利用遗传演算法进行最佳化搜寻。
- Lastly, PWL predictive control which uses the upper bound of optimal control as penalty function under certain conditions is proved to be stable. 最后证明了在一定条件下将最优控制的上限作为PWL系统预测控制的最终惩罚项可使预测控制算法保持稳定。
- This thesis analyses thecommon penalty function method and modified coulomb friction model used for contactanalysis in sheet metal forming simulation. 分析了常用的罚函数法接触算法和用于板料成形数值模拟的修正库仑摩擦模型。
- Through multiple generation calculation, the minimum point of penalty function value was obtained, then the optimalc reduction distribution was found. 通过粒子群多代运算，求出罚函数值最小点，得到压下负荷最佳分配点。
- Using the concept of CDF(compensation and division for fuzzy model)and the approach of linear matrix inequality, a new kind of fuzzy controller and the stability analysis of closed-loop T-S fuzzy system is got based on the T-S fuzzy dynamic model. 基于T-S模糊动态模型,采用模糊模型相除补偿(CDF)技术和线性矩阵不等式(LMI)方法,设计了一种新型模糊控制器,并进行了稳定性分析。
- By introducing penalty function terms,the problems,which would arise in the case of pure Lagrange multiplier method or penalty function method. 通过附加惩罚函数项，克服了单纯使用拉格朗日乘子法或惩罚函数法时存在的问题。
