Article
Computer Science, Information Systems
Yu Chen, Jun He
Summary: This paper conducts a theoretical analysis of the ACR in continuous optimization, revealing that there are two categories of ACR: linear and sublinear, and it is also classified into two categories with the decision space dimension.
INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Jiangtao Shen, Peng Wang, Xinjing Wang
Summary: Maintaining a balance between convergence and diversity is crucial in evolutionary multiobjective optimization. A new dominance relation called Strengthened Dominance Relation (SDR) is proposed, which outperforms existing dominance relations in balancing convergence and diversity. An adaptation strategy is presented to dynamically adjust the dominance relation, and the proposed NSGA-II/CSDR outperforms other algorithms in terms of both convergence and diversity on benchmark problems.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Cheng He, Ran Cheng, Danial Yazdani
Summary: In large-scale multiobjective optimization, the proposed adaptive offspring generation method effectively generates promising candidate solutions, enhancing convergence and maintaining diversity.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Mathematics, Applied
Tobias Danczul, Joachim Schoeberl
Summary: We propose new numerical methods to evaluate fractional norms and apply fractional powers of elliptic operators. By using a reduced basis method and explicit diagonalization, we project the problem to a low-dimensional subspace. The method computes the evaluations of (I -t(i)(2) Delta)(-1) f independently and in parallel, and achieves exponential convergence rates with the optimal choice of sampling points. Numerical experiments confirm the efficiency and accuracy of our algorithm.
NUMERISCHE MATHEMATIK
(2022)
Article
Automation & Control Systems
Huixiang Zhen, Wenyin Gong, Ling Wang, Fei Ming, Zuowen Liao
Summary: This article proposes a novel two-stage data-driven evolutionary optimization (TS-DDEO) method that uses surrogate models and different evolutionary sampling strategies to achieve better optimization performance and robustness in solving complex and computationally expensive optimization problems.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Qi Zhao, Bai Yan, Yuhui Shi, Martin Middendorf
Summary: This article proposes a knowledge learning strategy for change response in dynamic multiobjective optimization, which reacts to changes by learning from the historical search process, accelerating convergence and introducing diversity for future optimization.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Computer Science, Artificial Intelligence
Ye Tian, Yaopei Guang, Langchun Si, Ruifen Cao, Xi Pei, Xingyi Zhang
Summary: This study proposes a direct aperture optimization (DAO) method using a multi-objective evolutionary algorithm with customized variation operators, which improves the search efficiency and the effectiveness of generating multiple treatment plans.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE
(2023)
Article
Computer Science, Information Systems
Xuefeng Hong, Mingfang Jiang, Jinglin Yu
Summary: Decomposition-based multi-objective optimization algorithms are widely used in solving complex multi-objective optimization problems. A fine-grained ensemble approach called FGEA is proposed to choose suitable evolutionary operators for different subspaces during one generation. Through an adaptive strategy, FGEA achieves competitive performance compared to five baseline algorithms on 35 complex MOPs.
Article
Automation & Control Systems
Fei Ming, Wenyin Gong, Ling Wang, Liang Gao
Summary: This article introduces a novel constrained many-objective optimization evolutionary algorithm (CMME), which achieves a balance between feasibility, convergence, and diversity in constrained many-objective optimization problems by improving mating and environmental selections, proposing novel ranking strategies, designing individual density estimation, and using θ-dominance to enhance selection pressure on both convergence and diversity.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Computer Science, Artificial Intelligence
Jonatan Gomez, Elizabeth Leon
Summary: The paper discusses the Hybrid Adaptive Evolutionary Algorithm (haea) and proposes a class called chavela that follows a similar scheme. It provides a formal characterization in terms of Markov kernels, analyzes convergence properties, and examines the running behavior of the algorithms on optimization functions.
Article
Philosophy
Fang Liu
Summary: Zhu Xi claimed that the I Ching is a divination book in his works, prioritizing diagrams, Xian tian's Yi and ritual of divination, which was long criticized. He reconstructed the I Ching to resume its function of philosophical expression, becoming a fundamental theory in nature studies afterwards.
UNIVERSITAS-MONTHLY REVIEW OF PHILOSOPHY AND CULTURE
(2021)
Article
Statistics & Probability
Matthias Loeffler, Antoine Picard
Summary: This study investigates nonparametric estimation of the transition operator P and transition density p of a Markov chain with exponentially decaying singular values. A spectral hard thresholded Galerkin-type estimator is proposed, based on smooth basis functions, showing statistical optimality with matching minimax upper and lower bounds in L-2 loss. The dimensionality of the state space improves the nonparametric rate from 2d to d compared to the case without singular value decay.
ELECTRONIC JOURNAL OF STATISTICS
(2021)
Article
Automation & Control Systems
Wenfeng Li, Lijun He, Yulian Cao
Summary: This study addresses an energy-efficient job-shop scheduling problem with limited workers, utilizing a many-objective model and a novel fitness evaluation mechanism. It introduces two construction methods for reference points and an environmental selection mechanism, resulting in competitive algorithms for many-objective scheduling problems according to extensive experimental results.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Statistics & Probability
Juri Lember, Chris Watkins
Summary: This study introduces a class of evolutionary models with different selection schemes and breeding processes, maintaining a constant population size. The process evolves according to a Markov chain, allowing for easy identification and study of the stationary distribution - the mutation-selection equilibrium being a key focus.
METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY
(2022)
Article
Automation & Control Systems
Kai Zhao, Long Chen, Wenchao Meng, Lin Zhao
Summary: In this paper, a new neuroadaptive constrained control strategy is proposed for uncertain robotic manipulators with position and velocity constraints. By constructing a novel unified mapping function and integrating it with the approximation characteristic of neural networks, the developed control strategy eliminates the complicated feasibility conditions and ensures that the constraints are not violated.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Chemistry, Multidisciplinary
Yusen Li, Xi Su, Wenhao Zheng, Jia-Jia Zheng, Linshuo Guo, Mischa Bonn, Xingfa Gao, Hai I. Wang, Long Chen
Summary: The targeted synthesis of kagome topologic 2D covalent organic frameworks (kgm Naph-COFs) remains challenging due to the dependence on building units and synthetic conditions. In this study, two isomeric Naph-COFs with different pore structures were successfully synthesized using elaborately designed monomers based on naphthalene core. The incorporation of C-60 into one of the isomeric COFs resulted in a stable C-60@m-Naph-COF composite with significantly higher photoconductivity compared to the pure m-Naph-COF.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2023)
Article
Chemistry, Multidisciplinary
Dan Chen, Weiben Chen, Yuting Wu, Lei Wang, Xiaojun Wu, Hangxun Xu, Long Chen
Summary: This study reports crystalline s-heptazine-based COFs (HEP-TAPT-COF and HEP-TAPB-COF) with separated redox centers for efficient H2O2 production. The spatially and orderly separated active sites in HEP-COFs promote charge separation and enhance photocatalytic H2O2 production. Compared to HEP-TAPB-COF, HEP-TAPT-COF exhibits higher H2O2 production efficiency by integrating dual O-2 reduction centers of s-heptazine and triazine moieties. Consequently, HEP-TAPT-COF with dual O-2 reduction centers achieves a remarkable solar-to-chemical energy efficiency of 0.65% and a high apparent quantum efficiency of 15.35% at 420 nm, surpassing previously reported COF-based photocatalysts.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2023)
Article
Polymer Science
Jingwen Zhang, Xiaoli Yan, Pei Chen, Dan Chen, Zongfan Yang, Jianhui Wang, Long Chen
Summary: Covalent organic frameworks (COFs) are of increasing interest due to their unique structures and desirable properties. However, heteroporous COFs are still underdeveloped due to limited precursor configurations. In this study, a new K-shaped building unit (BPTD) was ingeniously designed and used to construct a triangular dual microporous COF (BPTD-COF). The BPTD-COF displayed selective adsorption for cationic dyes with good reusability, thanks to its super micropore and appropriate aperture sizes.
MACROMOLECULAR RAPID COMMUNICATIONS
(2023)
Article
Computer Science, Cybernetics
Tao Chen, Baoyu Zhang, Xiao Wang, Weishan Zhang, Chitin Hon, Wang Di, Long Chen, Qiang Li, Fei-Yue Wang
Summary: The dynamics of public opinion on social media affect people's perceptions of international affairs and lead to the restructuring of social states in international conflicts. This article analyzes the evolution of topics on social media during Pelosi's visit. Such analysis helps related departments effectively sense and respond to the situation, and provides technical support for policy making. A new method and ALGC algorithm are proposed to reduce the computational complexity of large graphs and analyze the evolution pattern of topics. The experimental results show that the proposed method achieves high clustering accuracy with lower computational cost. The dataset used in this article is also released for public analysis.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Chemistry, Multidisciplinary
Pei Chen, Xi Su, Chuanzhe Wang, Guang Zhang, Ting Zhang, Gang Xu, Long Chen
Summary: The development of two-dimensional conjugated metal-organic frameworks (2D c-MOFs) with remarkable electrical properties has created a new platform for efficient energy storage, sensing, and electrocatalysis. However, the availability of suitable ligands is limited, especially for 2D c-MOFs with large pore apertures and high surface areas. In this study, two new 2D c-MOFs (HIOTP-M, M=Ni, Cu) are successfully synthesized using a large conjugated ligand HAOTP. Among the reported 2D c-MOFs, HIOTP-Ni exhibits the largest pore size of 3.3 nm and one of the highest surface areas (up to 1300 m(2) g(-1)). As a demonstration, HIOTP-Ni shows promising chemiresistive sensing properties towards 10 ppm NO2 gas with high selectivity (405%) and a rapid response (1.69 min). This work highlights the significant correlation between the pore aperture of 2D c-MOFs and their sensing performance.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2023)
Article
Chemistry, Multidisciplinary
Xiaoxiao Sun, Xiaoli Yan, Keming Song, Ting Zhang, Zongfan Yang, Xi Su, Weihua Chen, Long Chen
Summary: Two-dimensional conductive metal-organic frameworks (2D c-MOFs) with intrinsic electrical conductivity, high specific surface area, tunable chemical composition, and tailor-made properties are considered as promising electrode materials for energy storage and conversion. In this study, a novel pyrazine-based 2D c-MOF (TPQG-Cu-MOF) with an extended conjugated structure and abundant redox active sites was designed and synthesized. TPQG-Cu-MOF exhibited reversible specific capacity (150.2 mAh·g-1 at 20 mAh·g-1), good cycling stability (82.6% capacity retention after 500 cycles at 1 A·g-1), and excellent rate performance as the cathode material of a lithium-ion battery. In-depth ex-situ spectroscopic studies revealed the reversible redox activity of pyrazine units and CuO2 units during the Li+ insertion/extraction process. This study deepens the fundamental understanding of the structure-property relationship and paves the way for further development of efficient MOF-based energy storage devices.
CHINESE JOURNAL OF CHEMISTRY
(2023)
Article
Computer Science, Artificial Intelligence
Chuanbin Zhang, Long Chen, Yin-Ping Zhao, Yingxu Wang, C. L. Philip Chen
Summary: In this article, a novel fuzzy clustering model is proposed to address the challenge of clustering categorical data. The model incorporates a fuzzy clustering objective function based on maximum a posteriori (MAP) estimation and a Bayesian dissimilarity measure to capture the relationships between categorical values. Additionally, a KL divergence-based graph regularization is integrated to exploit prior knowledge and enhance clustering performance. Experimental results demonstrate the superiority of the proposed model over classical and state-of-the-art algorithms.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Chemistry, Multidisciplinary
Guolong Xing, Jingjuan Liu, Yi Zhou, Shuai Fu, Jia-Jia Zheng, Xi Su, Xingfa Gao, Osamu Terasaki, Mischa Bonn, Hai I. Wang, Long Chen
Summary: Conductive metal-organic frameworks (c-MOFs) with excellent electrical conductivities and charge transport properties were synthesized using contorted hexabenzocoronene (c-HBC) derivatives as nonplanar and highly soluble ligands. Three c-MOFs with different geometries and packing modes were obtained, among which c-HBC-12O-Cu exhibited the highest intrinsic electrical conductivity and all c-HBC-based c-MOFs showed high charge carrier mobilities. This work provides a systematic and modular approach to enhance the structure and charge transport properties of c-MOFs using nonplanar and highly soluble ligands.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2023)
Article
Computer Science, Artificial Intelligence
Yu-Feng Yu, Xian-Liang Wang, Long Chen, Yingxu Wang, Guoxia Xu
Summary: This paper proposes a cooperative linear regression model (CLRM) for image set classification, which incorporates local information through a cooperative operator. The CLRM first uses a block partitioning strategy to obtain local information and models image sets and local information as affine hulls. Then, a linear regression model with cooperative operator is proposed to compute the distance between the different affine hulls and a combined distance measure is used for classification. Extensive experiments show that the CLRM achieves competitive performance compared with state-of-the-art classifiers.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Automation & Control Systems
Guang-Yong Chen, Min Gan, Jing Chen, Long Chen
Summary: This article presents a novel online identification algorithm for nonlinear regression models. The proposed algorithm can efficiently exploit the coupling relationship of linear parameters and nonlinear parameters in nonlinear regression models through an embedded point iteration step. The theoretical proof shows that the proposed algorithm is mean-square bounded. Numerical experiments confirm the high efficiency and robustness of the algorithm on synthetic data and real-world time series.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Computer Science, Cybernetics
Liang Xu, Tao Chen, Zhaoxiang Hou, Weishan Zhang, Chitin Hon, Xiao Wang, Di Wang, Long Chen, Wenyin Zhu, Yunlong Tian, Huansheng Ning, Fei-Yue Wang
Summary: This article proposes a knowledge graph-based reinforcement federated learning (KGRFL)-based Q & A approach to address the challenges of error accumulation and data privacy in existing semantic parsing methods. By designing a multitask semantic parsing model and a reinforcement learning-based model fusion strategy, multi-institution joint modeling and data privacy protection are achieved. The experiments show that the proposed method outperforms using a single institution and is resilient to security attacks.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Chemistry, Multidisciplinary
Jing Zhao, Ting Zhang, Junyu Ren, Ziqiang Zhao, Xi Su, Weihua Chen, Long Chen
Summary: We have synthesized a new 2D coordination polymer (Cu-TBC) by polymerizing a highly conjugated tribenzocoronene-type ligand (6OH-TBC) with Cu2+. This material shows excellent stability and performance as an electrode for a supercapacitor.
CHEMICAL COMMUNICATIONS
(2023)
Article
Chemistry, Multidisciplinary
Min Song, Jingjing Jia, Pingping Li, Jiahao Peng, Xinghan Pang, Meiling Qi, Yulong Xu, Long Chen, Lifeng Chi, Guang Lu
Summary: In this study, an anodic strategy based on ligand oxidation was developed for synthesizing oriented films of two-dimensional and three-dimensional conductive MOF materials on commonly used electrodes, with tunable thicknesses. This strategy allows for effective control over the crystallization of MOFs and the synthesis of films with specific structures and sizes, including hollow structures such as nanorods.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2023)
Article
Geochemistry & Geophysics
Yang Zhang, Yu-Feng Yu, Long Chen, Weiping Ding
Summary: This article proposes an improved method for unmanned aerial vehicle (UAV) visual tracking, which enhances the stability and recognition capability of the tracker using Gaussian denoising preprocessing and context-based information integration. It also reduces the risks of noise interference and model overfitting.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
