کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
481408 | 1446169 | 2008 | 16 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Multi-objective simulation-based evolutionary algorithm for an aircraft spare parts allocation problem Multi-objective simulation-based evolutionary algorithm for an aircraft spare parts allocation problem](/preview/png/481408.png)
Simulation optimization has received considerable attention from both simulation researchers and practitioners. In this study, we develop a solution framework which integrates multi-objective evolutionary algorithm (MOEA) with multi-objective computing budget allocation (MOCBA) method for the multi-objective simulation optimization problem. We apply it on a multi-objective aircraft spare parts allocation problem to find a set of non-dominated solutions. The problem has three features: huge search space, multi-objective, and high variability. To address these difficulties, the solution framework employs simulation to estimate the performance, MOEA to search for the more promising designs, and MOCBA algorithm to identify the non-dominated designs and efficiently allocate the simulation budget. Some computational experiments are carried out to test the effectiveness and performance of the proposed solution framework.
Journal: European Journal of Operational Research - Volume 189, Issue 2, 1 September 2008, Pages 476–491