Simplified fuzzy reasoning method is introduced and a general method to solve constrained optimization problems in fuzzy expert system is proposed.
介绍了简化模糊推理方法，在此基础上提出了求解模糊专家系统中约束最优化问题的一般方法。
The Chaotic neural network model can be used to solve many multi-dimensioned, discrete, non-convex, nonlinear constrained optimization problems.
基于混沌神经网络模型可以有效地解决高维、离散、非凸的非线性约束优化问题。
A method for solving minimax problem is presented, which also can be used to solve linear or constrained optimization problems.
提出了一类解极小极大问题的熵函数法，这种方法也可用来解线性或约束优化问题。
To solve complex constrained optimization problems, we propose a new immune-genetic algorithm.
提出一种新的求解复杂约束优化问题的免疫遗传算法。
From the view of whole large system, it was difficult to solve optimization problems for light hydrocarbon recovery system because of complex technics flow and constrained conditions.
轻烃回收系统庞大，工艺流程复杂，约束条件很多，从整个大系统的角度去求解优化问题存在很大困难。
The productive method on the initial population is studied by using genetic algorithms to solve the constrained optimization problems. The study gives the new method of initial population evolution.
针对用遗传算法求解约束优化问题时，初始种群产生的方法进行了研究，提出了初始种群产生的一种新方法。
To solve the equation constrained optimization problems, two new particle swarm optimization algorithms are presented. The experimental results show the algorithms are effective.
提出了求解有等式约束优化问题的两种新粒子群优化算法，数值试验结果表明，算法是有效的。
This paper the hybrid local constriction particle swarm optimization (HLPSO) with a feasibility-based rule is proposed to solve constrained engineering design problems.
本文提出一个求解约束工程设计问题的新的混合算法—与可行基规则相结合的局部收缩微粒群算法。
This paper the hybrid local constriction particle swarm optimization (HLPSO) with a feasibility-based rule is proposed to solve constrained engineering design problems.
本文提出一个求解约束工程设计问题的新的混合算法—与可行基规则相结合的局部收缩微粒群算法。
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