CAJ | 학술논문

对离散组合型法进行改进，提出了一种新的初始点产生办法，提高了离散组合型法的局部寻优能力。把离散组合型算法作为组合型操作算子融合到遗传算法中，构造一种新的离散变量结构优化算法-组合型遗传算法。运用模拟退火技术构造惩罚函数来改造适值函数，使算法更稳定地收敛于全局可行最优解。与基本遗传算法和组合型算法的计算结果比较证明，改进的组合型遗传算法具有局部搜索快和全局性好的双重特点，是可行且有效的离散变量结构优化设计方法。
대리산조합형법진행개진，제출료일충신적초시점산생판법，제고료리산조합형법적국부심우능력。파리산조합형산법작위조합형조작산자융합도유전산법중，구조일충신적리산변량결구우화산법-조합형유전산법。운용모의퇴화기술구조징벌함수래개조괄치함수，사산법경은정지수렴우전국가행최우해。여기본유전산법화조합형산법적계산결과비교증명，개진적조합형유전산법구유국부수색쾌화전국성호적쌍중특점，시가행차유효적리산변량결구우화설계방법。
A new approach to the generation of an initial point is proposed for discrete combined shape, which improve fully the local searching capability of discrete combined shape algorithm.Combined shape algorithm is embedded into genetic algorithm as a combined shape operator.Consequently a hybrid genetic algorithm for structural optimization with discrete variables is proposed.The con-strained optimization problems were dealt with by adaptive annealing penalty factors and penalty function.The numerical results show that improved combined shape genetic algorithm for struc-tural optimization with discrete variable problems has a faster convergence speed,which has ad-vantages of local searching capability and globally searching capability of genetic algorithm.Im-proved combined shape genetic algorithm is an efficient optimal design method for engineering structure.