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一种基于DQN的改进NSGA-Ⅱ算法
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作者 吴亚楠 张剑 《舰船电子工程》 2023年第4期29-33,共5页
采用传统单种群NSGA-Ⅱ算法求解武器目标分配多目标优化数学模型,解算过程中容易陷入局部最优,且存在分布性不足、求解时间长等缺陷。为了改善算法性能,获得更好的Pareto最优解集结果,可结合深度强化学习和双种群“迁徙”思想对传统单种... 采用传统单种群NSGA-Ⅱ算法求解武器目标分配多目标优化数学模型,解算过程中容易陷入局部最优,且存在分布性不足、求解时间长等缺陷。为了改善算法性能,获得更好的Pareto最优解集结果,可结合深度强化学习和双种群“迁徙”思想对传统单种群NSGA-Ⅱ算法进行改进。采用深度强化学习DQN算法来对双种群“迁徙”操作中涉及到的各项迁徙参数进行调整优化,对深度强化学习要素进行设计,并通过实验验证改进后的NSGA-Ⅱ算法具有更好的算法性能,且算法耗时更少,表明论文改进NSGA-Ⅱ算法在求解武器目标分配问题上的有效性。 展开更多
关键词 弹目分配 改进NSGA-Ⅱ算法 双种群迁徙
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Monitoring population dynamics of the migratory Red-crowned Crane (Grus japonensis) at Shuangtaihekou National Nature Reserve,northeastern China,from 1991 to 2012 被引量:1
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作者 李玉祥 宋常站 +4 位作者 杨玉成 李晓静 李风丽 黄杰 黄秀艳 《Chinese Birds》 2012年第3期225-229,共5页
We studied migratory Red-crowned cranes from 1991-2012 in order to track population dynamics and trends for these cranes over time at Shuangtaihekou,northeastern China.Our results show that the earliest arrival date o... We studied migratory Red-crowned cranes from 1991-2012 in order to track population dynamics and trends for these cranes over time at Shuangtaihekou,northeastern China.Our results show that the earliest arrival date of the Red-crowned Crane (Grus japonensis) was usually around 1 March in the spring and the latest departure date of the cranes around 8 November.The peak period for the number of cranes observed in the spring was 10-20 March over these 22 years.The staging period in the spring is about 25 days.Comparing the highest number of Red-crowned cranes observed in the spring,the migratory population was around 400 birds in the 1990s,then,increased to over 800 birds in 2000.For a short while,the population maintained itself around 600-800 birds.After that,the population started to decline,until during the most recent years,we observed around 400 birds at peak times of each season.Our results match a similar population change pattern observed in the wintering area for a western population,which has been declining since 2000.There is an urgent need to reinforce protection and management,as well as to maintain and improve the quality of their habitats. 展开更多
关键词 Grus japonensis MIGRATION population dynamics Shuangtaihekou STOPOVER
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