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学者姓名：王秀丽
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Abstract ：
There are generally many redundant and irrelevant features in high-dimensional datasets, which leads to the decline of classification performance and the extension of execution time. To tackle this problem, feature selection techniques are used to screen out redundant and irrelevant features. The artificial bee colony (ABC) algorithm is a popular meta-heuristic algorithm with high exploration and low exploitation capacities. To balance between both capacities of the ABC algorithm, a novel ABC framework is proposed in this paper. Specifically, the solutions are first updated by the process of employing bees to retain the original exploration ability, so that the algorithm can explore the solution space extensively. Then, the solutions are modified by the updating mechanism of an algorithm with strong exploitation ability in the onlooker bee phase. Finally, we remove the scout bee phase from the framework, which can not only reduce the exploration ability but also speed up the algorithm. In order to verify our idea, the operators of the grey wolf optimization (GWO) algorithm and whale optimization algorithm (WOA) are introduced into the framework to enhance the exploitation capability of onlooker bees, named BABCGWO and BABCWOA, respectively. It has been found that these two algorithms are superior to four state-of-the-art feature selection algorithms using 12 high-dimensional datasets, in terms of the classification error rate, size of feature subset and execution speed. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Keyword ：
Classification (of information) Classification (of information) Feature Selection Feature Selection Heuristic algorithms Heuristic algorithms Optimization Optimization
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| GB/T 7714 | Zhang, Yuanzi , Wang, Jing , Li, Xiaolin et al. Feature selection for high-dimensional datasets through a novel artificial bee colony framework [J]. | Algorithms , 2021 , 14 (11) . |
| MLA | Zhang, Yuanzi et al. "Feature selection for high-dimensional datasets through a novel artificial bee colony framework" . | Algorithms 14 . 11 (2021) . |
| APA | Zhang, Yuanzi , Wang, Jing , Li, Xiaolin , Huang, Shiguo , Wang, Xiuli . Feature selection for high-dimensional datasets through a novel artificial bee colony framework . | Algorithms , 2021 , 14 (11) . |
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最大频繁项集挖掘用于发现频繁地出现在数据集中的最大子集,目前已经有许多有效的算法。应用蚁群算法挖掘最大频繁项集是一种新的方法,但是该算法往往迭代次数多,提取率低。结合频繁项集关联图和最大最小蚂蚁系统,提出一种新的蚁群算法。算法构造蚁群路径图,蚁群在动态的信息素和启发式因子指导下构造局部最大频繁项集,通过新的局部更新和全局更新机制发现全局最大频繁项集。对比实验表明,算法挖掘速度快,提取率高。
Keyword ：
关联图 关联图 数据挖掘 数据挖掘 最大最小蚂蚁系统 最大最小蚂蚁系统 最大频繁项集 最大频繁项集 蚁群优化 蚁群优化
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| GB/T 7714 | 黄红星 , 王秀丽 , 黄习培 . 挖掘最大频繁项集的改进蚁群算法 [J]. | 计算机工程与应用 , 2011 , 47 (13) : 161-165 . |
| MLA | 黄红星 et al. "挖掘最大频繁项集的改进蚁群算法" . | 计算机工程与应用 47 . 13 (2011) : 161-165 . |
| APA | 黄红星 , 王秀丽 , 黄习培 . 挖掘最大频繁项集的改进蚁群算法 . | 计算机工程与应用 , 2011 , 47 (13) , 161-165 . |
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Abstract ：
在多Agent系统下,根据遗忘理论和经典知识逻辑建立基于内模型的知识逻辑,并且提出相应的互模拟关系,定义出知识逻辑;讨论了知识遗忘的相关性质.
Keyword ：
内模型 内模型 多Agent系统 多Agent系统 知识逻辑 知识逻辑 遗忘理论 遗忘理论
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| GB/T 7714 | 林运国 , 王秀丽 , 林耀海 . 基于内模型的知识遗忘 [J]. | 福建农林大学学报(自然科学版) , 2011 , 40 (03) : 318-321 . |
| MLA | 林运国 et al. "基于内模型的知识遗忘" . | 福建农林大学学报(自然科学版) 40 . 03 (2011) : 318-321 . |
| APA | 林运国 , 王秀丽 , 林耀海 . 基于内模型的知识遗忘 . | 福建农林大学学报(自然科学版) , 2011 , 40 (03) , 318-321 . |
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为了提高挖掘的效率和精度,采用代数定义最大频繁项集并建立其数学模型,通过二进制编码将支持度的计算、蚁群算法和遗传算法求解有机地融合,从而提出一种求解该数学模型的遗传蚁群算法。实验表明,该算法挖掘最大频繁项集是有效的,具有良好的伸缩性。
Keyword ：
关联规则 关联规则 最大频繁项集 最大频繁项集 蚁群算法 蚁群算法 遗传算法 遗传算法
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| GB/T 7714 | 黄红星 , 黄习培 , 王秀丽 . 挖掘最大频繁项集的遗传蚁群优化算法 [J]. | 计算机应用研究 , 2010 , 27 (07) : 2505-2508 . |
| MLA | 黄红星 et al. "挖掘最大频繁项集的遗传蚁群优化算法" . | 计算机应用研究 27 . 07 (2010) : 2505-2508 . |
| APA | 黄红星 , 黄习培 , 王秀丽 . 挖掘最大频繁项集的遗传蚁群优化算法 . | 计算机应用研究 , 2010 , 27 (07) , 2505-2508 . |
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Abstract ：
为了使信念修正能够满足最小改变原则,首先基于遗忘理论定义遗忘收缩算子,并且证明该算子满足必要AGM收缩假定;然后通过Levi Identity构建遗忘修正算子;最后给出遗忘修正方法和多次遗忘修正算法。实例分析表明,算法具有可行性和有效性,能够得到较满意的修正结果。
Keyword ：
信念修正 信念修正 修正 修正 收缩 收缩 遗忘理论 遗忘理论 部分相交收缩 部分相交收缩
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| GB/T 7714 | 林运国 , 林耀海 , 王秀丽 . Agent信念的遗忘修正方法 [J]. | 计算机应用 , 2010 , 30 (10) : 2572-2574,2577 . |
| MLA | 林运国 et al. "Agent信念的遗忘修正方法" . | 计算机应用 30 . 10 (2010) : 2572-2574,2577 . |
| APA | 林运国 , 林耀海 , 王秀丽 . Agent信念的遗忘修正方法 . | 计算机应用 , 2010 , 30 (10) , 2572-2574,2577 . |
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Abstract ：
引入颜色恒常性原理用于区分自然彩色图像中的差分结构,并结合距离正则化水平集算法,对具高光和阴影的自然彩色图像进行分割。实验结果表明,该算法能够正确有效地分割出图像目标,而未引入颜色恒常性原理的水平集算法则得到错误的图像分割结果。
Keyword ：
图像分割 图像分割 水平集 水平集 距离正则化 距离正则化 颜色恒常性 颜色恒常性
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| GB/T 7714 | 李小林 , 官明友 , 王秀丽 . 颜色恒常性的距离正则化水平集彩色图像分割 [J]. | 莆田学院学报 , 2010 , 17 (05) : 60-62 . |
| MLA | 李小林 et al. "颜色恒常性的距离正则化水平集彩色图像分割" . | 莆田学院学报 17 . 05 (2010) : 60-62 . |
| APA | 李小林 , 官明友 , 王秀丽 . 颜色恒常性的距离正则化水平集彩色图像分割 . | 莆田学院学报 , 2010 , 17 (05) , 60-62 . |
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In this article, we have two parts. In the first part, we are concerned with the locally Holder continuity of quasi-minima of the following integral functional integral(Omega) f(x, u, Du)dx, (1) where Omega is an open subset of Euclidean N-space (N >= 3), u : Omega -> R, the Caratheodory function f satisfies the critical Sobolev exponent growth condition vertical bar Du vertical bar(p) - vertical bar u vertical bar(p)* - a(x) <= f(x, u, Du) <= L(vertical bar Du vertical bar(p) + vertical bar u vertical bar(p)* + a(x)), (2) where L >= 1, 1 < p < N, p* = Np/N - p, and a(x) is a nonnegative function that lies in a suitable L-p space. In the second part, we study the locally Holder continuity of omega-minima of (1). Our method is to compare the omega-minima of (1) with the minima of corresponding function determined by its critical Sobolev exponent growth condition. Finally, we obtain the regularity by Ekeland's variational principal.
Keyword ：
Ekeland's variational principle Ekeland's variational principle Holder continuous Holder continuous Integral functional Integral functional omega-minima omega-minima Q-minima Q-minima
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| GB/T 7714 | Ning Zhengyuan , Wang Xiuli . THE REGULARITY OF QUASI-MINIMA AND ω-MINIMA OF INTEGRAL FUNCTIONALS [J]. | ACTA MATHEMATICA SCIENTIA , 2010 , 30 (4) : 1301-1317 . |
| MLA | Ning Zhengyuan et al. "THE REGULARITY OF QUASI-MINIMA AND ω-MINIMA OF INTEGRAL FUNCTIONALS" . | ACTA MATHEMATICA SCIENTIA 30 . 4 (2010) : 1301-1317 . |
| APA | Ning Zhengyuan , Wang Xiuli . THE REGULARITY OF QUASI-MINIMA AND ω-MINIMA OF INTEGRAL FUNCTIONALS . | ACTA MATHEMATICA SCIENTIA , 2010 , 30 (4) , 1301-1317 . |
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Alternating-time Temporal Epistemlc Logic (ATEL) which is an important kind of multi-agent cooperation logics only takes knowledge into account, but does not deal with belief of agents. By introducing three kinds of belief operators into ATEL, a new multiagent cooperation logic named ATBKL (Alternating-time Temporal Belief and Knowledge Logic) was developed. A model checking algorithm was proposed. It is proved that the model checking complexity of ATBKL is the same as that of ATEL, i.e., the presented logic is better for further study of multi-agent systems.
Keyword ：
Computer circuits Computer circuits Model checking Model checking Multi agent systems Multi agent systems
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| GB/T 7714 | Ning, Zheng-Yuan , Lai, Xian-Wei , Hu, Shan-Li et al. Belief and knowledge reasoning [J]. | Journal of Donghua University (English Edition) , 2010 , 27 (2) : 254-257 . |
| MLA | Ning, Zheng-Yuan et al. "Belief and knowledge reasoning" . | Journal of Donghua University (English Edition) 27 . 2 (2010) : 254-257 . |
| APA | Ning, Zheng-Yuan , Lai, Xian-Wei , Hu, Shan-Li , Wang, Xiu-Li . Belief and knowledge reasoning . | Journal of Donghua University (English Edition) , 2010 , 27 (2) , 254-257 . |
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Temporal logics are often adopted as basic tools to specifying mental states such as belief and goal of agents. Although there are works on non-monotonic extension of linear temporal logic (LTL) and branching time temporal logic (CTL), the non-monotonic extension of alternating-time temporal logic (ATL) which is an important kind of multi-agent cooperation logics has not been discussed yet in literature. To solve this problem, this paper proposed non-monotonic alternating-time temporal logic with belief and goal, namely N-ATL-BG, to facilitate the non-monotonic reasoning of mental states of agents. The semantic model, syntax and semantics of this new logic are developed. A model checking algorithm which can be finished in polynomial time is proposed for this new logic. Examples are given to show its usage.
Keyword ：
Computer circuits Computer circuits Model checking Model checking Multi agent systems Multi agent systems Polynomial approximation Polynomial approximation Semantics Semantics Temporal logic Temporal logic
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| GB/T 7714 | Lai, Xian-Wei , Hu, Shan-Li , Ning, Zheng-Yuan et al. Multi-agent belief, goal and exceptions reasoning [J]. | Journal of Donghua University (English Edition) , 2010 , 27 (2) : 165-168 . |
| MLA | Lai, Xian-Wei et al. "Multi-agent belief, goal and exceptions reasoning" . | Journal of Donghua University (English Edition) 27 . 2 (2010) : 165-168 . |
| APA | Lai, Xian-Wei , Hu, Shan-Li , Ning, Zheng-Yuan , Wang, Xiu-Li . Multi-agent belief, goal and exceptions reasoning . | Journal of Donghua University (English Edition) , 2010 , 27 (2) , 165-168 . |
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Abstract ：
首先综述群体Agent知识逻辑和遗忘逻辑，其次扩展互模拟关系，构建群体Agent知识遗忘，包括普遍知识、公共知识和群体隐含知识的遗忘，最后给出群体Agent知识遗忘的计算属性。
Keyword ：
互模拟 互模拟 知识 知识 群体Agent 群体Agent 遗忘 遗忘
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| GB/T 7714 | 林运国 , 王秀丽 , 林耀海 . 群体Agent的知识遗忘理论 [C] //2010第六届全国多智能体系统与控制学术年会论文集 . 2010 : 332-332 . |
| MLA | 林运国 et al. "群体Agent的知识遗忘理论" 2010第六届全国多智能体系统与控制学术年会论文集 . (2010) : 332-332 . |
| APA | 林运国 , 王秀丽 , 林耀海 . 群体Agent的知识遗忘理论 2010第六届全国多智能体系统与控制学术年会论文集 . (2010) : 332-332 . |
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