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Multi-Objective Optimization of Pilots’ FFS Recurrent Training Problem 被引量:1
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作者 Mingang Gao 《Engineering(科研)》 2012年第10期662-667,共6页
Two multi-objective programming models are built to describe Pilots’ full flight simulator (FFS) recurrent training (PFRT) problem. There are two objectives for them. One is the best matching of captains and copilots... Two multi-objective programming models are built to describe Pilots’ full flight simulator (FFS) recurrent training (PFRT) problem. There are two objectives for them. One is the best matching of captains and copilots in the same aircraft type. The other is that pilots could attend his training courses at proper month. Usually the two objectives are conflicting because there are copilots who will promote to captains or transfer to other aircraft type and new trainees will enter the company every year. The main theme in the research is to find the final non-inferior solutions of PFRT problem. Graph models are built to help to analyze the problem and we convert the original problem into a longest-route problem with weighted paths. An algorithm is designed with which we can obtain all the non-inferior solutions by a graphic method. A case study is present to demonstrate the effectiveness of the algorithm as well. 展开更多
关键词 PFRT PROBLEM MULTI-OBJECTIVE Programming BIPARTITE Graph longest-route PROBLEM GRAPHIC Method
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