基于遗传算法的沿海混凝土耐久性优化设计
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摘要
传统遗传算法存在易早熟、随机性较大、收敛速度较慢等问题,本文通过设计新的交叉算子和变异算子,提出了新的自适应遗传算法,该算法可以有效提高收敛速度并防止算法陷入局部最优解。本文以造价最低为目标函数,以沿海混凝土的耐久性、强度和工作性能为约束条件,基于遗传算法建立了耐久性优化模型,得到了混凝土结构材料用量的最优配合比以及最优保护层厚度,为混凝土的耐久性研究提供了参考和借鉴。
The traditional genetic algorithm had the problems of prematurity,large randomness and slow convergence speed.By designing the new crossover operator and mutation operator,a new adaptive genetic algorithm was proposed,which could effectively improve the convergence speed and prevent the algorithm from getting into the local optimal solution.The durability optimization model based on genetic algorithm was established,which was set the lowest cost as the objective function,and the durability,strength and working performance of the coastal concrete as the constraint conditions.The optimal mix ratio and the optimal protective layer thickness were obtained.It provided reference for the concrete durability research.
The traditional genetic algorithm had the problems of prematurity,large randomness and slow convergence speed.By designing the new crossover operator and mutation operator,a new adaptive genetic algorithm was proposed,which could effectively improve the convergence speed and prevent the algorithm from getting into the local optimal solution.The durability optimization model based on genetic algorithm was established,which was set the lowest cost as the objective function,and the durability,strength and working performance of the coastal concrete as the constraint conditions.The optimal mix ratio and the optimal protective layer thickness were obtained.It provided reference for the concrete durability research.
引文
[1] YOSHIKI T,HIROTAKA K,HIROSHl W,et al.Study on cover depth for prestressed concrete bridges in airborne chloride environments[J].PCI Journal,2006,51(2): 42-55.
[2] 柯伟.中国腐蚀调查报告[M].北京:化学工业出版社,2003.
[3] 秦宪明,颜超,赵娟,等.提高海工结构混凝土耐久性的原理和方法[J].建筑技术,2012,43(1):18-20.
[4] 张苑竹.海洋环境下混凝土受弯构件耐久性优化设计[J].水运工程,2008(4):26-29.
[5] CHEN M S,LIAO F H,LION R.A hybrid genetic algorithm for function optimization[C]//Proceedings of the 5th International Conference on Soft Computing and Information/Intelligent Systems.Methodologies for the Conception,Design and Application of Soft Computing,1998,2(3):809-813.
[6] YENIAY O.Penalty function methods for constrained optimization with genetic algorithms[J].Mathematical & Computational Applications,2005,10(1):45-56.
[7] JIAN P L.A species conserving genetic algorithm for multimodal function optimization[J].Evolutionary Computation,2002,10(3):207-234.
[8] DENG J J.A hybrid genetic algorithm for function optimization[J].Journal of Software,1999,10(8):819-823.
[9] ZHANG L,WANG L.Genetic ordinal optimization for stochastic traveling salesman problem[C]//Proceedings of the World Congress on Intelligent Control and Automation (WCICA),2006,13(8):2086-2090.
[10] KOLOKOLTSEV O V.Phase-reversal broad-band traveling-wave Li Nb O/sub 3/Electro optic modulator optimized for time-domain applications by a genetic algorithm[J].IEEE Journal of Selected Topics in Quantum Electronics,2002,8(6):1258-1264.
[11] 祁继鹏.改进的遗传算法及其在地下筒仓结构优化设计中的应用[D].郑州: 河南工业大学,2015.
[12] YAO X,LIU Y,LIN G M.Evolutionary programming made faster [J].IEEE Transactions on Evolutionary Computation,1999,3(2):82-102.
[13] 胡颖.海洋环境下混凝土结构基于遗传算法的耐久性优化设计[D].郑州:河南工业大学,2017.
[14] 仲维亮,芦志强,苏永生,等.Life-365在海港混凝土耐久性设计中的应用[J].水运工程,2014(5):64-68.
[2] 柯伟.中国腐蚀调查报告[M].北京:化学工业出版社,2003.
[3] 秦宪明,颜超,赵娟,等.提高海工结构混凝土耐久性的原理和方法[J].建筑技术,2012,43(1):18-20.
[4] 张苑竹.海洋环境下混凝土受弯构件耐久性优化设计[J].水运工程,2008(4):26-29.
[5] CHEN M S,LIAO F H,LION R.A hybrid genetic algorithm for function optimization[C]//Proceedings of the 5th International Conference on Soft Computing and Information/Intelligent Systems.Methodologies for the Conception,Design and Application of Soft Computing,1998,2(3):809-813.
[6] YENIAY O.Penalty function methods for constrained optimization with genetic algorithms[J].Mathematical & Computational Applications,2005,10(1):45-56.
[7] JIAN P L.A species conserving genetic algorithm for multimodal function optimization[J].Evolutionary Computation,2002,10(3):207-234.
[8] DENG J J.A hybrid genetic algorithm for function optimization[J].Journal of Software,1999,10(8):819-823.
[9] ZHANG L,WANG L.Genetic ordinal optimization for stochastic traveling salesman problem[C]//Proceedings of the World Congress on Intelligent Control and Automation (WCICA),2006,13(8):2086-2090.
[10] KOLOKOLTSEV O V.Phase-reversal broad-band traveling-wave Li Nb O/sub 3/Electro optic modulator optimized for time-domain applications by a genetic algorithm[J].IEEE Journal of Selected Topics in Quantum Electronics,2002,8(6):1258-1264.
[11] 祁继鹏.改进的遗传算法及其在地下筒仓结构优化设计中的应用[D].郑州: 河南工业大学,2015.
[12] YAO X,LIU Y,LIN G M.Evolutionary programming made faster [J].IEEE Transactions on Evolutionary Computation,1999,3(2):82-102.
[13] 胡颖.海洋环境下混凝土结构基于遗传算法的耐久性优化设计[D].郑州:河南工业大学,2017.
[14] 仲维亮,芦志强,苏永生,等.Life-365在海港混凝土耐久性设计中的应用[J].水运工程,2014(5):64-68.