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A vectorized bimodal distribution based micro differential evolution algorithm (VB-mDE) 基于矢量双峰分布的微差分进化算法(VB-mDE)
IF 0.7 Q4 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2020-10-30 DOI: 10.3233/MGS-200331
Xu Chen, Xueliang Miao, Hugo Tianfield
Micro differential evolution (mDE) refers to algorithms that evolve with a small population to search for good solutions. Although mDEs are very useful for resource-constrained optimization tasks, the research on mDEs is still limited. In this paper, we propose a new mDE, i.e., vectorized bimodal distribution based mDE (called VB-mDE). The main idea is to employ a vectorized bimodal distribution parameter adjustment mechanism in mDE for performance enhancement. Specifically, in the VB-mDE, two important control parameters, i.e., scale factor F and crossover rate C⁢R, are adjusted by bimodal Cauchy distribution. At the same time, to increase the population diversity, the scale factor F is vectorized. The proposed VB-mDE is evaluated on the CEC2014 benchmark functions and compared with the state-of-the-art mDEs and normal DEs. The results show that the proposed VB-mDE has advantages in terms of solution accuracy and convergence speed.
微差分进化(Micro differential evolution, mDE)是指在小种群中进化以寻找最佳解的算法。尽管mDEs在资源约束优化任务中非常有用,但对其的研究仍然有限。在本文中,我们提出了一个新的mDE,即基于矢量双峰分布的mDE(称为VB-mDE)。其主要思想是采用向量化双峰分布参数调整机制来提高算法的性能。具体来说,在VB-mDE中,两个重要的控制参数,即尺度因子F和交叉率C²R,通过双峰柯西分布进行调节。同时,为增加种群多样性,对尺度因子F进行矢量化处理。在CEC2014基准函数上对所提出的VB-mDE进行了评估,并与现有的mde和普通的de进行了比较,结果表明所提出的VB-mDE在求解精度和收敛速度方面具有优势。
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引用次数: 0
Topology-aware virtual machine replication for fault tolerance in cloud computing systems 面向云计算系统容错的拓扑感知虚拟机复制
IF 0.7 Q4 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2020-07-24 DOI: 10.3233/MGS-200328
P. Kumari, Parmeet Kaur
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引用次数: 2
A multiagent reinforcement learning algorithm to solve the maximum independent set problem 一种求解最大独立集问题的多智能体强化学习算法
IF 0.7 Q4 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2020-04-09 DOI: 10.3233/mgs-200323
Mir Mohammad Alipour, M. Abdolhosseinzadeh
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引用次数: 0
Bot-X: An AI-based virtual assistant for intelligent manufacturing Bot-X:基于人工智能的智能制造虚拟助手
IF 0.7 Q4 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2020-02-27 DOI: 10.3233/MGS-210340
Chen Li, Hongji Yang
In light of recent trends toward introducing Artificial Intelligence (AI) to enhance the Human Machine Interface (HMI), companies need to identify the key issues of the communication between operator and production machines. Despite the fact that the industrial company starts to introduce chatbots to assist the communication between humans and machines, the virtual assistant (or digital assistant) by using human natural language is still widely required in the manufacturing domain. In this paper, we introduce an AI-based virtual assistant, Bot-X, for the manufacturing industry to handle a variety of complex services, e.g., order processing, production execution. This work expands the idea in three directions. Firstly, we introduce the design motivation of Bot-X, e.g., knowledge boundary in the manufacturing context. Secondly, the design principle of Bot-X is presented, including the framework, system architecture, model architecture, and the core algorithm. Then, three scenarios are presented to test the Bot-X usability and flexibility regarding the manufacturing environment.
鉴于最近引入人工智能(AI)来增强人机界面(HMI)的趋势,公司需要确定操作员和生产机器之间通信的关键问题。尽管工业公司开始引入聊天机器人来辅助人与机器之间的交流,但在制造领域,使用人类自然语言的虚拟助手(或数字助手)仍然被广泛需要。在本文中,我们介绍了一个基于人工智能的虚拟助手Bot-X,用于制造业处理各种复杂的服务,如订单处理,生产执行。这项工作从三个方面扩展了这个想法。首先,我们介绍了Bot-X的设计动机,即制造环境下的知识边界。其次,介绍了Bot-X的设计原理,包括框架、系统架构、模型架构和核心算法。然后,提出了三个场景来测试Bot-X在制造环境中的可用性和灵活性。
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引用次数: 8
Preference-based resource reservation method for resource allocation in full distributed systems 全分布式系统中基于偏好的资源预留方法
IF 0.7 Q4 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2020-02-10 DOI: 10.3233/mgs-190317
Ningkui Wang, Hayfa Zgaya-Biau, P. Mathieu, S. Hammadi
Multiagent Resource Allocation (MARA) is a field to find out solutions that distribute a set of resources among agents. Heretofore, lots of utility-and reputation-based approaches have been proposed. In this paper, we develop a preference-based resource reservation approach for resource allocation in a system that consists of entirely selfless agents. Preference, defined as the satisfaction of required resources, has a crucial impact on resource allocation. The importance degree is also adopted to represent the extent to which a particular attribute is needed. In the system, agents communicate with semi-local friends to exchange information as well as reserving resources. Finally, a confirmation or cancelation message is sent to obtain or release the reserved resources. Numerical examples are given to show the rationality and effectiveness of the proposed method.
多代理资源分配(multi - agent Resource Allocation, MARA)是一个用于寻找在代理之间分配一组资源的解决方案的领域。到目前为止,已经提出了许多基于效用和声誉的方法。在本文中,我们开发了一种基于偏好的资源保留方法,用于由完全无私的主体组成的系统中的资源分配。偏好,定义为对所需资源的满意程度,对资源配置有至关重要的影响。重要性也被用来表示一个特定属性需要的程度。在系统中,agent与半本地的友端进行通信,交换信息,预留资源。最后,发送确认或取消消息以获取或释放保留的资源。数值算例表明了该方法的合理性和有效性。
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引用次数: 0
A graph transformation based approach for multi-agent systems reorganization 基于图变换的多智能体系统重组方法
IF 0.7 Q4 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2020-02-10 DOI: 10.3233/mgs-190318
Fayçal Guerrouf, A. Chaoui
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引用次数: 1
A multi-agent system for fault location and service restoration in power distribution systems 配电系统故障定位与恢复的多智能体系统
IF 0.7 Q4 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2020-02-10 DOI: 10.3233/mgs-190316
Azeroual Mohamed, T. Lamhamdi, Hassan El Moussaoui, Hassane El Markhi
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引用次数: 4
A novel approach for choosing dynamic community detection algorithms using PROMETHEE II 一种基于PROMETHEE II的动态社区检测算法选择新方法
IF 0.7 Q4 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2020-02-10 DOI: 10.3233/mgs-190315
S. Arab, N. Taghezout, F. Benkaddour
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引用次数: 0
A new task scheduling mechanism in grid computing using trust model 基于信任模型的网格计算任务调度机制
IF 0.7 Q4 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2020-01-01 DOI: 10.3233/MGS-200325
A. Mohsenzadeh, M. Nickray, Amir Jalaly Bidgoly, Y. Farjami
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引用次数: 1
Petri net and rewriting logic based formal analysis of multi-agent based safety-critical systems 基于Petri网和重写逻辑的多智能体安全关键系统形式化分析
IF 0.7 Q4 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2020-01-01 DOI: 10.3233/mgs-200320
A. Boucherit, Laura M. Castro, Abdallah Khababa, O. Hasan
The formal design and development of multi-agent systems has attracted a considerable attention over the past decades because of their extensive use in safety-critical applications. This paper presents an efficient, hybrid and scalable formal development approach for safetycritical systems based on the multi-agent paradigm. In fact, we aim in this paper to benefit from the advantages of existing tools and techniques for each development stage and then integrate them in one unified approach. In particular approach, we advocate using Petri nets and rewriting logic to facilitate the formalization of multi-agent based systems, as well as we have integrated both the model checking and property-based testing techniques in the verification and testing stages. For illustrating the utilization and effectiveness of the proposed approach, we use it to analyze a simple automated distributing machine.
由于多智能体系统在安全关键应用中的广泛应用,其正式设计和开发在过去几十年中引起了相当大的关注。本文提出了一种基于多智能体范式的安全关键系统的高效、混合和可扩展的形式化开发方法。事实上,在本文中,我们的目标是从每个开发阶段的现有工具和技术的优势中获益,然后将它们集成在一个统一的方法中。特别是,我们提倡使用Petri网和重写逻辑来促进基于多智能体的系统的形式化,并且我们在验证和测试阶段集成了模型检查和基于属性的测试技术。为了说明该方法的实用性和有效性,我们用它来分析一个简单的自动分配机。
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引用次数: 2
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Multiagent and Grid Systems
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