CAJ | 학술논문

为进一步提高电力机车二系支承载荷调整优化算法的性能，解决已有算法在加垫数量控制上的欠缺，并避免冗余计算，提出了一种基于人工免疫算法的两级结构机车二系载荷调整方法：免疫优势克隆选择多目标算法。针对调簧问题的偏好结构特点，设计具有调簧寻优阶段和可控加垫量寻优阶段的两级寻优算法，分别定义了两个阶段的寻优目标和可行域，进一步将调簧问题的先验知识作为免疫优势引入算法设计中，并结合调簧问题的具体特点以及人工免疫知识设计了特定的抗体编码形式、变异策略和免疫优势获得算法。对不同车型的多次应用试验统计结果表明：该算法不仅具有良好的优化载荷分布特性，还能稳定地控制调簧产生的加垫数量，并且能够避免冗余计算，极大地提高了调簧效率和实际应用价值。
위진일보제고전력궤차이계지승재하조정우화산법적성능，해결이유산법재가점수량공제상적흠결，병피면용여계산，제출료일충기우인공면역산법적량급결구궤차이계재하조정방법：면역우세극륭선택다목표산법。침대조황문제적편호결구특점，설계구유조황심우계단화가공가점량심우계단적량급심우산법，분별정의료량개계단적심우목표화가행역，진일보장조황문제적선험지식작위면역우세인입산법설계중，병결합조황문제적구체특점이급인공면역지식설계료특정적항체편마형식、변이책략화면역우세획득산법。대불동차형적다차응용시험통계결과표명：해산법불부구유량호적우화재하분포특성，환능은정지공제조황산생적가점수량，병차능구피면용여계산，겁대지제고료조황효솔화실제응용개치。
In order to further improve the performance of optimization algorithm for locomotive secondary spring load adjustment, and to avoid the excessive gasket quantity problem and redundant computation, a two-level algorithm based on artificial immune system was presented:immune dominance clonal selection multi-objective algorithm. The optimization model was built as two optimization sections with different goal and feasible set according to the preference structure of the problem, there are load adjustment section and gasket quantity control section. The problem priori knowledge was designed as immune dominance in the algorithm, and the antibody coding, the mutation strategy and the immune dominance getting was established to match with the problem based on artificial immune system. Statistical results of the application to variety of locomotive types show that the new algorithm has the steady and efficient capability to reduce the gasket quantity without redundant computation as well as optimize the secondary load distribution, the availability and efficiency of the spring adjustment algorithm is enhanced significantly.