CAJ | 학술논문

针对排样优化中种群个体多样性保持及全域寻优存在的问题，将免疫系统的免疫信息处理机制引入到粒子群优化算法中，建立求解排样问题的粒子群免疫优化方法。该方法借鉴人工免疫中抗体的多样性保持机制及免疫记忆功能，强调优势基因的进化和浓度稳定，提高了算法的全域搜索速度并保持了群体多样性。实验表明，在对船舶不规则件排样优化问题求解中，免疫机制对粒子群优化的最优搜索具有较好的有效性和较高的可行性。
침대배양우화중충군개체다양성보지급전역심우존재적문제，장면역계통적면역신식처리궤제인입도입자군우화산법중，건립구해배양문제적입자군면역우화방법。해방법차감인공면역중항체적다양성보지궤제급면역기억공능，강조우세기인적진화화농도은정，제고료산법적전역수색속도병보지료군체다양성。실험표명，재대선박불규칙건배양우화문제구해중，면역궤제대입자군우화적최우수색구유교호적유효성화교고적가행성。
The immune information processing mechanism of immune system was involved into particle swarm optimization( PSO) for diversity of individuals and populations globally optimizing.The paper estab-lished immune PSO method solving packing problem.The proposed algorithms have both the mechanisms properties to maintain diversity of antibodies and the immune memory function,which emphasized the advan-tages of genetic evolution and concentration stability,and improve the global evolution speed and population diversity.Its effectiveness has been fairly proved in practice for hull irregular parts packing optimization.