联合作战行动中的关键是选择最优火力分配方案,最大化发挥武器系统效能.常规导弹火力分配问题一般视为多目标优化问题进行研究.针对非支配排序遗传算法(NSGA-III)在武器-目标的分配问题中缺少对决策者偏好的衡量这一问题,提出基于R-NSGA-III的常规导弹火力分配模型,根据决策者偏好生成参考点;针对常规导弹存在调度转移和发射...
In this article, we conducted a new hybrid method between Non-dominated Sorting Genetic Algorithm II (NSGA-III) and SPEA/R (HNSGA-III&SPEA/R). This method is implemented to find the optimal values of the powertrain mount system stiffness parameters. This is the task of finding multi-objecti...
Multi-objective Sustainable Process Plan Generation forRMS: NSGA-III vs New NSGA-IIIdoi:10.1007/978-3-030-92666-3_15Nowadays, to be relevant, the ... I Khettabi,L Benyoucef,MA Boutiche - International Conference on Modelling 被引量: 0发表: 2022年 NSGA-II vs NSGA-III for the Sustainab...
当NSGAIII算法中的参考点小生境数比较小时;与该参考点相关联的所有成员都同时进入下一代;未考虑拥挤程度;降低了种群的多样性;减缓了种群的收敛速度;针对这一问题;提出一种个体选择策略;每次从参考点集合选取个体进入下一代之前;先计算集合中种群成员相互之间的拥挤度;当拥挤距离小于所设定阈值时;随机删除其中任意一...
The solution is solved by the nondominated sorting genetic algorithm based on reference points (NSGA-III). The path planning of lane change and collision avoidance can be completed in advance within the warning distance, and the value of vehicle warning speed under a certain warning distance ...