基于区间的制造服务组合多目标优化方法

发布时间：2018-03-14 10:50

本文选题：制造服务　切入点：服务组合　出处：《计算机集成制造系统》2017年08期 　论文类型：期刊论文

【摘要】：为解决实际制造服务组合过程中广泛存在的不确定性问题,提出一种基于区间的制造服务组合多目标优化方法。采用区间数对不确定的制造服务质量信息进行了一致化表达;以时间最短、成本最低和评价质量最高为目标,建立了区间型多目标优化数学模型,并基于区间序关系将区间型多目标优化模型转化为确定型优化模型;运用改进的非支配排序遗传算法求解模型,获得了制造服务组合的Pareto最优解集。通过数值算例验证了所提方法的可行性,结果表明该方法能够有效求解制造服务信息不确定时的服务组合优化问题。
[Abstract]:In order to solve the uncertainty in the process of manufacturing service composition, an interval based multi-objective optimization method for manufacturing service composition is proposed. The uncertain quality of manufacturing service information is uniformly expressed by interval number. Aiming at the shortest time, the lowest cost and the highest evaluation quality, the mathematical model of interval type multi-objective optimization is established, and the interval type multi-objective optimization model is transformed into deterministic optimization model based on interval order relation. The Pareto optimal solution set of manufacturing service composition is obtained by using the improved undominated sorting genetic algorithm. The feasibility of the proposed method is verified by numerical examples. The results show that this method can effectively solve the service composition optimization problem with uncertain manufacturing service information.
【作者单位】：国防科学技术大学机电工程与自动化学院;
【基金】：国家自然科学基金资助项目(51505488)~~
【分类号】：O221.6

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