The design of the cross-section of an FRP-reinforced concrete beam is an iterative process of estimating both its dimensions and the reinforcement ratio, followed by the check of the compliance of a number of strength and serviceability constraints. The process continues until a suitable solution is found. Since there are infinite solutions to the problem, it appears convenient to define some optimality criteria so as to measure the relative goodness of the different solutions. This paper intends to develop a preliminary least-cost section design model that follows the recommendations in the ACI 440.1 R-06, and uses a relatively new artificial intelligence technique called particle swarm optimization (PSO) to handle the optimization tasks. The latter is based on the intelligence that emerges from the low-level interactions among a number of relatively non-intelligent individuals within a population.

翻译：FRP加固混凝土束的跨部门设计是一个迭接过程,用来估计其尺寸和加固率,然后检查若干强度和可用性限制的遵守情况。这一过程一直持续到找到适当的解决办法为止。由于问题有无限的解决办法,因此似乎可以确定一些最佳性标准,以衡量不同解决办法的相对优点。本文件打算按照ACI 440.1 R-06中的建议,开发一个成本最低的初步部门设计模型,并使用一种相对较新的人工智能技术,称为粒子温和优化(PSO)来处理优化任务,后者以人口中一些相对不聪明的人之间的低层次互动所产生的情报为基础。