拆卸建模是拆卸序列规划的基础，也是绿色设计的关键。
Disassembly modeling is the basis of disassembly sequence planning and the key of green design.
本文将基于模拟退火的粒子群优化算法这一混合优化算法应用于拆卸序列规划求解问题。
It be used in disassembly sequence planning process which is a hybrid optimization algorithm, the particle swarm-simulated annealing optimization algorithm (PSO-SA).
分析了产品实际拆卸过程中的不确定性，将实际产品拆卸序列规划转化为一类贪婪算法求解问题。
By analyzing the uncertainty of product disassemble process, a product disassembly sequence planning was mapped into a problem which can be solved by greedy algorithm.
拆卸是回收的前提，为了得到最大的回收效益，对拆卸序列进行规划，得到最优的拆卸序列。
Disassembly is a precondition of recovery, disassembly sequence planning is to win the most of profits and obtain the optimization disassembly sequence.
这里使用遗传算法来规划拆卸序列，产生满足约束条件的效率最好的顺序。
This paper use GA to deal such kind of problem, which can generate an optimal sequence under constraint of disassembly priority.
文章以问题规约的求解策略，以分解法规划产生的装配序列，提出与或图表达装配体拆卸序列解空间。
This paper discusses on assembly process planning problem using decomposition method, puts forward union graph to represent disassemble process planning space.
文章以问题规约的求解策略，以分解法规划产生的装配序列，提出与或图表达装配体拆卸序列解空间。
This paper discusses on assembly process planning problem using decomposition method, puts forward union graph to represent disassemble process planning space.
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