Genetic Algorithm Devleopment for Multi-Objective Optimization of Seismic Mixed-Constructued Structures With/ Without Control of Systems

有/无系统控制的地震混合结构多目标优化的遗传算法开发

• 批准号: 9520804
• 负责人: Franklin Cheng
• 金额: $ 14.98万
• 依托单位: Missouri University of Science and Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-10-01 至 1998-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9520804&HistoricalAwards=false
• 关键词: Genetic; Algorithm; Devleopment; Multi; Objective

9520804 Cheng This project deals with a fundamental problem which often arises in intelligent engineering aimed at optimum design of buildings and civil infrastructure systems where multiple variables and loading conditions are involved. Optimum design means, among other things, to maximize service life, safety and functionality while minimizing material use, labor, maintenance,etc. A critical step and requirement in the process of multi-objective optimal design is a computational algorithm which could give consistent, stable solutions to the complex optimization formulation. In this project, an innovative optimization technique, namely, a genetic algorithm will be developed for civil structural applications under seismic condition. This algorithm is based on the Darwinian survival-of-the-fittest strategy by eliminating unfit characteristics and using random exchange through reproduction, recombination (cross over), and mutation. Emphasis is placed on formulation of n-parent uniform cross- over operator and parallelization to achieve an emerging computing technique for both global and robust optimum solutions. Other research efforts also undertaken as a part of this research include structural modeling of building systems with mixed construction materials, formulation of multi- objective functions and constraints for building structures, development od optimum based design criteria for static and earthquake load with/without control systems, and assessment and improvement of current optimum design algorithms. ***

9520804 Cheng 该项目解决了智能工程中经常出现的一个基本问题，旨在对涉及多个变量和负载条件的建筑物和民用基础设施系统进行优化设计。优化设计意味着最大限度地提高使用寿命、安全性和功能性，同时最大限度地减少材料使用、劳动力、维护等。 多目标优化设计过程中的关键步骤和要求是计算算法，它可以为复杂的优化公式提供一致、稳定的解决方案。在该项目中，将开发一种创新的优化技术，即遗传算法，用于地震条件下的土木结构应用。 该算法基于达尔文的适者生存策略，通过消除不适应的特征并通过繁殖、重组（交叉）和突变使用随机交换。 重点放在 n 父均匀交叉算子的制定和并行化上，以实现全局和鲁棒最优解的新兴计算技术。 作为本研究的一部分，还进行了其他研究工作，包括混合建筑材料的建筑系统的结构建模、建筑结构的多目标函数和约束的制定、有/没有控制系统的静态和地震荷载的基于优化的设计标准的开发，以及当前优化设计算法的评估和改进。 ***