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检索条件"主题词=State transition algorithm"
71 条 记 录,以下是11-20 订阅
An efficient multi-objective state transition algorithm based on improved crowding distance
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EXPERT SYSTEMS WITH APPLICATIONS 2025年 288卷
作者: Fang, Shuang Li, Yonggang Han, Jie Yang, Chunhua Cent South Univ Sch Automat Changsha 410083 Peoples R China Curtin Univ Sch Elect Engn Comp & Math Sci Perth WA Australia Peng Cheng Lab Shenzhen 518000 Peoples R China
In order to improve algorithm performance and reduce its time complexity, this paper proposes an efficient multi-objective state transition algorithm based on the improved crowding distance (EMOSTA_ICD). This algorith... 详细信息
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An interactive feature selection method based on multi-step state transition algorithm for high-dimensional data
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KNOWLEDGE-BASED SYSTEMS 2023年 282卷
作者: Du, Yangyi Zhou, Xiaojun Yang, Chunhua Huang, Tingwen Cent South Univ Sch Automat Changsha 410083 Peoples R China Texas A&M Univ Qatar Doha 10587 Qatar
Feature selection (FS) has been extensively employed in classification tasks to reduce data dimensionality and enhance prediction performance effectively. Recently, hybrid filter-wrapper methods have exhibited promisi... 详细信息
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Unlocking operational excellence: A deep dive into a communication-driven multi-strategy state transition algorithm for industrial process optimization
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CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2023年 第1期240卷
作者: Tan, Xujie Wang, Yalin Liu, Chenliang Yuan, Xiaofeng Wang, Kai Cent South Univ Sch Automat Changsha 410083 Peoples R China
The optimization of industrial processes is crucial for enhancing operational safety, productivity, and energy efficiency. However, the increasing complexity of industrial processes poses challenges to the applicabili... 详细信息
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Nonlinear bilevel programming approach for decentralized supply chain using a hybrid state transition algorithm
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KNOWLEDGE-BASED SYSTEMS 2022年 240卷
作者: Zhou, Xiaojun Tian, Jituo Wang, Zeyu Yang, Chunhua Huang, Tingwen Xu, Xuesong Cent South Univ Sch Automat Changsha 410083 Peoples R China Texas A&M Univ Qatar Doha 23874 Qatar Hunan Univ Technol & Business Sch Frontier Crossover Studies Changsha 410205 Peoples R China Peng Cheng Lab Shenzhen 518000 Peoples R China
This paper investigates a decentralized supply chain that is composed of one manufacturer and multiple distributors. The manufacturer produces goods and wholesales them to multiple distributors and then the distributo... 详细信息
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Kernel intuitionistic fuzzy c-means and state transition algorithm for clustering problem
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SOFT COMPUTING 2020年 第20期24卷 15507-15518页
作者: Zhou, Xiaojun Zhang, Rundong Wang, Xiangyue Huang, Tingwen Yang, Chunhua Cent South Univ Sch Automat Changsha 410083 Peoples R China Peng Cheng Lab Changsha 51800 Peoples R China Texas A&M Univ Qatar POB 23874 Doha Qatar
Clustering problems widely exist in machine learning, pattern recognition, image analysis and information sciences, etc. Although many clustering algorithms have been proposed, it is unpractical to find a clustering a... 详细信息
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Using hybrid normalization technique and state transition algorithm to VIKOR method for influence maximization problem
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NEUROCOMPUTING 2020年 410卷 41-50页
作者: Zhou, Xiaojun Zhang, Rundong Yang, Ke Yang, Chunhua Huang, Tingwen Cent South Univ Sch Automat Changsha 410083 Peoples R China Peng Cheng Lab Shenzhen 518000 Peoples R China Texas A&M Univ Qatar POB 23874 Doha Qatar
Influence maximization problem is the procedure of attempting to identify a group of K nodes in a social network in order to maximize the dissemination of influence under certain influence models. Based on state trans... 详细信息
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Energy Consumption Forecasting for the Nonferrous Metallurgy Industry Using Hybrid Support Vector Regression with an Adaptive state transition algorithm
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COGNITIVE COMPUTATION 2020年 第2期12卷 357-368页
作者: Huang, Zhaoke Yang, Chunhua Zhou, Xiaojun Yang, Shengxiang Cent South Univ Sch Automat Changsha 410083 Peoples R China De Montfort Univ Sch Comp Sci & Informat Leicester Leics England
The nonferrous metallurgy industry is a major energy consumer in China, and accurate energy consumption forecasting for the nonferrous metallurgy industry can help government policymakers with energy planning. For thi... 详细信息
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An adaptive state transition algorithm with local enhancement for global optimization
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APPLIED SOFT COMPUTING 2022年 121卷
作者: Dong, Yingchao Zhang, Hongli Wang, Cong Zhou, Xiaojun Xinjiang Univ Sch Elect Engn Urumqi 830047 Xinjiang Peoples R China Cent South Univ Sch Automat Changsha 410083 Peoples R China
state transition algorithm (STA) is an efficient and powerful metaheuristic method for solving global optimization problems, and it has been successfully applied in many engineering fields in the past few years. Howev... 详细信息
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Evaluation of Wireless Sensor Networks Based on state transition algorithm and Fuzzy TOPSIS
Evaluation of Wireless Sensor Networks Based on State Transi...
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第34届中国控制与决策会议
作者: Wan Tan Xiaojun Zhou Yan Sun School of Automation Central South University
Many exsting interval-valued intuitionistic fuzzy multiattribute decision making methods in evaluating wireless sensor networks(WSNs) are baesd on real-valued measures,which may lose divergence information and affect ... 详细信息
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A state transition algorithm with Variable Local Candidate Solution Space and its application to Residue Hydrogenation Fractionation Process
A State Transition Algorithm with Variable Local Candidate S...
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Chinese Automation Congress (CAC)
作者: Yi, Kemin Wang, Yalin Sun, Bei Sun Jiazhou Cent South Univ Sch Automat Changsha 410083 Hunan Peoples R China
Parameter Optimal state transition algorithm (POSTA) is a global metaheuristic method with adaptive parameter adjustment capabilities. However, its fixed local search candidate solution space easily leads to the compu... 详细信息
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