摘要
分析了基于遗传算法的协同演化优化方法及深基坑支护的特点。提出了用基于遗传算法的协同演化优化方法来求解基坑支护层次性优化问题的模型,并给出了约束处理和目标函数转换的策略。实例表明所提出的策略是可行有效的。
The factors of foundation excavation were analyzed,and a strategy useing collaborative optimization with Genetic Algorithms in deep foundation was introduced. The strategy was that genetic algorithm (GAs) was used to search the design space in system level optimization problem,instead of the general optimization algorithms. Finally the constraint and fitness transaction of the model were shown. Example indicated that the strategy proposed in the paper was available.
出处
《计算机应用》
CSCD
北大核心
2004年第10期139-140,143,共3页
journal of Computer Applications
基金
国家自然科学基金资助项目(59868001)
广西大学科研基金资助项目(X022089)
关键词
协同演化
基坑支护
约束处理
目标函数
co-evolution optimization
foundation excavation
constraint transaction
fitness function