摘要
文章为研究废弃产品的拆卸序列规划,首先建立了产品拆卸模型混合图,描述零部件之间的连接关系和优先关系,推导出可拆卸性条件;其次,通过几何推理生成产品可行的初始拆卸序列,建立目标函数并构建适合拆卸序列规划的蟑螂算法;依据初始拆卸序列和其他控制参数,结合蟑螂算法对拆卸序列进行优化得到最优解;最后,通过实例验证了该方法的可行性及高效性。
In order to optimize disassembly sequence for waste or malfunctioning products, a product disassem- bly hybrid graph model is established, which describes the connection and precedence relationships between the product parts. The disassembly condition is deduced based on the hybrid graph modal. Then, all the feasible disassembly sequences are obtained through the geometry inference metho& The target function is constituted and the cockroach swarm optimization algorithm which suits the disassembly sequence planning is constructed. Further, by inputting some disassembly sequences and other controlling parameters, the optimal valid disassembly sequence can be obtained based on the cockroach swarm optimization. Finally, a case study is given to illustrate the validity of the proposed method and prove that the cockroach swarm optimization is superior to the particle swarm optimization.
出处
《合肥工业大学学报(自然科学版)》
CAS
CSCD
北大核心
2011年第11期1601-1605,1744,共6页
Journal of Hefei University of Technology:Natural Science
基金
国家自然科学基金资助项目(50735006
50905052)
"十一五"国家科技支撑计划资助项目(2008BAC46B01)
安徽省科技计划资助项目(08010202010)
关键词
拆卸序列规划
混合图
目标函数
蟑螂算法
disassembly sequence planning
hybrid graph
target function
cockroach swarm optimization