混合遗传算法在工程结构优化设计中的应用

基金项目:

国家自然科学基金资助项目(40072006)

APPLICATION OF HYBRID GENETIC ALGORITHM TO OPTIMUM DESIGN OF ENGINEERING STRUCTURES

1.
1. School of Resource and Civil Engineering,Northeastern University Shenyang 110004;
2.
2. Department of Civil Engineering,Liaoning Institute of Technology Jinzhou 121001

摘要: 根据工程实际,充分考虑规范规定的约束条件和各项技术标准要求,建立了建筑结构优化模型。并提出一种离散变量结构优化设计的斐波那契算法与标准遗传算法结合成混合遗传算法。优化设计结果表明,这种混合遗传算法既发挥了斐波那契算法省时、高效、局部搜索能力强的特点,又发挥了遗传算法全局性好的特点,是兼二者之长,弃二者之短的高效的理想的工程结构优化设计方法。
- 离散变量 /
- 结构优化 /
- 遗传算法 /
- 混合遗传算法
Abstract: On the basis of the practical structure design of engineering,sufficiently considering the constraint conditions that the norm stipulates and the requirements of various engineering standards,a model of building structural optimization is derived.A hybrid genetic algorithm(HGA)composed of the standard genetic algorithm(SGA)and the Fibonacci algorithm(FA)is proposed.The results of examples show that the method plays the advantages of saving time,high efficiency,powerful local searching capabilit of FA,and plays the advantages of global searching capability of genetic algorithm(GA),too.HGA,as an efficient optimization design method for engineering structure having the advantages of both FA and GA without their disadvantages,is superior to either one.
- discrete variables /
- structural optimization /
- genetic algorithm /
- hybrid genetic algorithm