舰船燃机中冷器可以改善其变工况性能,所以中冷器的质量对舰船有效载荷有影响。但目前中冷器优化多采用简单进化算法且约束条件多采用公式拟合致使误差较大,无法得到最优解。为了提出可行的设计优化中冷器算法,对板翅式换热模块采用效率...舰船燃机中冷器可以改善其变工况性能,所以中冷器的质量对舰船有效载荷有影响。但目前中冷器优化多采用简单进化算法且约束条件多采用公式拟合致使误差较大,无法得到最优解。为了提出可行的设计优化中冷器算法,对板翅式换热模块采用效率-传热单元数法建立性能校核程序,随后研究全局及局部搜索能力俱佳的改进Alopex(Algorithms of pattern extraction)进化算法,并将优化算法与性能校核过程结合,开发新的中冷器芯体质量、效率和热侧压降的多目标混合优化设计程序。数值优化结果表明,改进混合算法能够得到比SGA(简单遗传算法)和简单Alopex算法更优的设计结果。结果证明,改进方法能够为中冷器进一步优化设计提供参考。展开更多
A new genetic algorithm is proposed for the optimization problem of real-valued variable functions. A new robust and adaptive fitness scaling is presented by introducing the median of the population in exponential tra...A new genetic algorithm is proposed for the optimization problem of real-valued variable functions. A new robust and adaptive fitness scaling is presented by introducing the median of the population in exponential transformation. For float-point represented chromosomes, crossover and mutation operators are given. Convergence of the algorithm is proved. The performance is tested by two generally used functions. Hybrid algorithm which takes the BP algorithm as a mutation operator is used to train a neural network for image recognition. Experimental results show that the proposed algorithm is an efficient global optimization algorithm.展开更多
文摘舰船燃机中冷器可以改善其变工况性能,所以中冷器的质量对舰船有效载荷有影响。但目前中冷器优化多采用简单进化算法且约束条件多采用公式拟合致使误差较大,无法得到最优解。为了提出可行的设计优化中冷器算法,对板翅式换热模块采用效率-传热单元数法建立性能校核程序,随后研究全局及局部搜索能力俱佳的改进Alopex(Algorithms of pattern extraction)进化算法,并将优化算法与性能校核过程结合,开发新的中冷器芯体质量、效率和热侧压降的多目标混合优化设计程序。数值优化结果表明,改进混合算法能够得到比SGA(简单遗传算法)和简单Alopex算法更优的设计结果。结果证明,改进方法能够为中冷器进一步优化设计提供参考。
基金Supported by the National Natural Science Foundation
文摘A new genetic algorithm is proposed for the optimization problem of real-valued variable functions. A new robust and adaptive fitness scaling is presented by introducing the median of the population in exponential transformation. For float-point represented chromosomes, crossover and mutation operators are given. Convergence of the algorithm is proved. The performance is tested by two generally used functions. Hybrid algorithm which takes the BP algorithm as a mutation operator is used to train a neural network for image recognition. Experimental results show that the proposed algorithm is an efficient global optimization algorithm.
