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

9520804程这个项目涉及一个在智能工程中经常出现的基本问题，目的是优化建筑和民用基础设施系统的设计，其中涉及多个变量和载荷条件。最优设计意味着最大化使用寿命、安全性和功能性，同时最大限度地减少材料消耗、劳动力和维护等。多目标优化设计过程中的一个关键步骤和要求是一种计算算法，它可以给出复杂的优化公式一致、稳定的解。在本项目中，将开发一种创新的优化技术，即遗传算法，用于土木结构在地震条件下的应用。该算法基于达尔文的适者生存策略，通过消除不适合的特征，并使用通过繁殖、重组(交叉)和突变进行的随机交换。重点阐述了n-父代均匀交叉算子的构造和并行化，以实现一种新的全局最优解和稳健最优解的计算技术。作为这项研究的一部分，还开展了其他研究工作，包括混合建筑材料建筑系统的结构建模，建筑结构多目标函数和约束的制定，有/无控制系统的静力和地震荷载优化设计准则的发展，以及对现有优化设计算法的评估和改进。***

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. ***