eeld

In this paper , a new effective artificial neural network method is developed for the solution of economic emission load dispatch ( EELD ) problems of thermal generations .

提出了一种求解火力发电系统的环境经济负荷调度（EELD）问题的新的人工神经网络方法。

The optimization method by using LINGO is presented , as well as the application of LINGO to economic emission load dispatch ( EELD ) problems .

介绍了LINGO软件优化方法以及它在环境经济负荷调度问题上的应用。

An immune genetic algorithm based on evolutional strategy was used to achieve multiple-objective optimization with constraints of a power system 's economic emission load dispatch ( EELD ) .

电力系统EELD问题是一个满足一定约束条件的多目标优化问题，利用基于进化策略的免疫遗传算法对这一问题求解。

It is called Economic Emission Load Dispatch ( EELD ) . It need consider both power generation cost and environmental pollution control costs , without changing the current state of systems .

这就是所谓的环境经济负荷分配（EmissionEconomicLoadDispatch，EELD）问题，即在不改变系统现状并且满足系统约束条件的情况下，综合考虑发电燃料成本和环境污染控制成本最优，合理地分配负荷。