Product family design optimization method based on cluster search evolutionary algorithm

• Main Authors: RUAN YUANPENG, CHU JIAHUI, ZHANG ZHONGLIANG, LUO XINGGANG
• Format: Patent
• Language: Chinese; English
• Published: 26.11.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a product family design optimization method based on a cluster search evolutionary algorithm. The method comprises the following steps: step 1, obtaining structures and codes of individuals; 2, performing population initialization; 3, calculating a fitness function; 4, performing selecting operation; 5, performing individual crossover operation; 6, performing individual adaptive mutation operation; and 7, terminating the rule. Experiments are carried out by adopting real experiments and simulation cases, and experimental results show that the method provided by the invention has better effects than a traditional genetic algorithm, can help enterprises to quickly obtain an optimization solution for product family design, and plays an important role in expanding market share, reducing development cost and improving enterprise profit for enterprises to develop series of new products. 本文发明一种基于集束搜索进化算法的产品族设计优化方法，包括以下步骤：步骤1：个体的结构及编码；步骤2：种群初始化；步骤3：计算适应值函数；步骤4：选择操作；步骤5：个体交叉操作；步骤6：个体自适应变异操作；步骤7