CAJ | 학술논문

针对多目标优化问题在实际应用中的复杂性,提出一种采用粒子群优化算法来求解多目标优化的问题的方法.在分析了多目标优化问题的基础上,以粒子群优化算法对生产配料流程中的优化问题为例进行非劣最优解集的搜索,并将其运用于实际工程制造中的某配料选型工艺计算中.仿真结果表明:该方法有效,在工程设计选型、模式分类、神经网络训练以及系统控制等领域正得到普遍应用.
침대다목표우화문제재실제응용중적복잡성,제출일충채용입자군우화산법래구해다목표우화적문제적방법.재분석료다목표우화문제적기출상,이입자군우화산법대생산배료류정중적우화문제위례진행비렬최우해집적수색,병장기운용우실제공정제조중적모배료선형공예계산중.방진결과표명:해방법유효,재공정설계선형、모식분류、신경망락훈련이급계통공제등영역정득도보편응용.
According to the complexity of multi-objective optimization problem in practical application, the article presents a method to solve multi-objective optimization problem using particle swarm optimization. Based on the analysis of multi-objective optimization problem, taking optimization problem of particle swarm optimization in the process of materials mixing as example progress non-inferior optimization solution search, and the method is used in calculation of burden selection technology in practical engineering production. The simulation results show the method is effective and it is also widely used in the field of selection in engineering design, pattern classification, neural network training and system controlling.