Journal of Computational Science and Technology | |
Stress-Based Crossover Operator for Structural Topology Optimization | |
Tomoyuki HIROYASU2  Cuimin LI1  Mitsunori MIKI2  | |
[1] Graduate School of Engineering, Doshisha University;Department of Engineering, Doshisha University | |
关键词: Genetic Algorithm; Stress-Based Crossover; ESO; Structure Topology Optimization; Structure Optimization; | |
DOI : 10.1299/jcst.2.46 | |
学科分类:地球科学(综合) | |
来源: Japan Academy | |
【 摘 要 】
References(26)In this paper, we propose a stress-based crossover (SX) operator to solve the checkerboard-like material distributation and disconnected topology that is common for simple genetic algorithm (SGA) to structural topology optimization problems (STOPs). A penalty function is defined to evaluate the fitness of each individual. A number of constrained problems are adopted to experiment the effectiveness of SX for STOPs. Comparison of 2-point crossover (2X) with SX indicates that SX can markedly suppress the checkerboard-like material distribution phenomena. Comparison of evolutionary structural optimization (ESO) and SX demonstrates the global search ability and flexibility of SX. Experiments of a Michell-type problem verifies the effectiveness of SX for STOPs. For a multi-loaded problem, SX searches out alternate solutions on the same parameters that shows the global search ability of GA.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO201912010158389ZK.pdf | 1032KB | download |