摘要
采用解决复杂优化问题的遗传算法 ,对高强混凝土进行配合比的优化设计。从成功的混凝土配合比数据中 ,归纳出各种原材料用量的取值范围 ,以混凝土材料的成本为优化目标函数。将约束优化的数学规划问题转化成遗传算法模型 ,用实数编码表示个体的染色体位串 ,启用联赛随机选择算子、完全算术交叉算子以及非均匀变异算子等算子组合 ,完成遗传操作。编程计算并获得最优解。其结果与工程实例中提供的设计参数相比 ,减少费用18.8%。
The genetic algorithm is introduced,which can solve some complex optimum problems,into optimal designs of high-strength concrete mixtures.We induced dosage ranges of all kinds of component materials from the data of some successful precedent concrete mixtures,and carried through an optimal design of concrete mixtures with an objective function for the lowest cost of concrete.This investigation first transformed the mathematical programming of restricted optimization into a genetic algorithm model,and then denoted bit strings of chromosome by real number codes.Further,it made use of a combination that includes stochastic tournament model and non-uniform arithmetic crossover and non-uniform mutation to implement genetic operations.At last,an optimization solution was acquired by compiling the programs and iterating computation.The optimization result reduces18.8%of the cost,compared with the design results in an engineering example.
出处
《混凝土与水泥制品》
北大核心
2004年第6期19-22,共4页
China Concrete and Cement Products
基金
国家自然科学基金资助项目 (50178028)。
关键词
土木工程
混凝土配合比优化设计
材料成本最小
化遗传算法
civil engineering optimal design of concrete mixtures minimizing cost of concrete genetic algorithm
