Open AccessResearch on Capability Optimization of High Maneuvering Combat Force Based on Mission Completion Quality
Author(s) -
Qian Liu,
Yunjun Lu,
Bin Zhang,
Yang Jin
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1576/1/012044
Subject(s) - path (computing) , set (abstract data type) , quality (philosophy) , computer science , optimization problem , mathematical optimization , operations research , engineering , mathematics , algorithm , programming language , philosophy , epistemology
In order to optimize the capability of high maneuvering combat force, considering the non-measurability of capability, a capability optimization method based on mission completion quality is proposed in this paper. In this method, the capability optimization objective is replaced by the mission completion quality, and the quality is measured by the mission completion success rate and the mission completion cost. The optimal solution set which is the path with highest success rate and lowest cost is obtained based on the improved NSGA-II. In light of the cost value of each path in this solution set, the solution has various optimization directions. Based on the actual requirements of mission, decision maker can select one from optimal solution set. Thus, the capability of high maneuvering combat force is optimized.