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Journal Article 7

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penalty function 2

Alternating direction method of multipliers (ADMM) 1

Asymmetric Genetic Algorithm 1

CO2 capture and storage (CCS) 1

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Distributed optimization 1

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Matrix-valued optimization 1

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Anefficient parallel and distributed solution to nonconvex penalized linear SVMs Personal View

Lei GUAN, Tao SUN, Lin-bo QIAO, Zhi-hui YANG, Dong-sheng LI, Ke-shi GE, Xi-cheng LU

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 4,   Pages 587-603 doi: 10.1631/FITEE.1800566

Abstract: When combined with the sparsity-inducing nonconvex penalty, SVMs can perform classification and variableHowever, the nonconvex penalized SVMs in general cannot be solved globally and efficiently due to theirExisting solutions to the nonconvex penalized SVMs typically solve this problem in a serial fashion,data are stored in a distributed manner urgently calls for a parallel and distributed solution to the nonconvexpropose an efficient alternating direction method of multipliers (ADMM) based algorithm that solves the nonconvex

Keywords: Linear classification     Support vector machine (SVM)     Nonconvex penalty     Alternating direction method of    

Reduction potential of the energy penalty for CO capture in CCS

Frontiers in Energy 2023, Volume 17, Issue 3,   Pages 390-399 doi: 10.1007/s11708-023-0864-x

Abstract: One of the crucial reasons for this delay lies in the unaffordable penalty caused by CO2 capture

Keywords: CO2 capture and storage (CCS)     CO2 separation     energy penalty    

Why does environmental compliance cost more than penalty?

DONG Hongwei

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 4,   Pages 434-442 doi: 10.1007/s11783-007-0069-2

Abstract: In the environmental protection field of China, due to lower law-breaking cost but higher law-abiding cost , it is a common case that the enterprise chooses to break through the law on purpose. The punishment to the unlawful pr

Keywords: law-abiding     punishment     environmental protection     law-breaking     enterprise    

Pulse Transiently Chaotic Neural Network for Nonlinear Constrained Optimization

Li Ying,Cao Hongzhao,Hu Yunchang,Shang Xiuming

Strategic Study of CAE 2004, Volume 6, Issue 5,   Pages 45-48

Abstract: The optimization problem is first unconstrained by virtue of non-differentiable exact penalty function

Keywords: PTCNN     penalty function     nonlinear constrained optimization    

Matrix-valued distributed stochastic optimization with constraints

夏子聪,刘洋,卢文联,桂卫华

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1239-1252 doi: 10.1631/FITEE.2200381

Abstract: A penalty method is derived to deal with the constraints, and a selection principle is proposed for choosingfeasible penalty functions and penalty gains.

Keywords: Distributed optimization     Matrix-valued optimization     Stochastic optimization     Penalty method     Gossip model    

Evaluation of a novel Asymmetric Genetic Algorithm to optimize the structural design of 3D regular and irregular steel frames

Mohammad Sadegh ES-HAGHI, Aydin SHISHEGARAN, Timon RABCZUK

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1110-1130 doi: 10.1007/s11709-020-0643-2

Abstract: The AGA consists of a developed penalty function, which helps to find the best generation of the population

Keywords: frame     Asymmetric Genetic Algorithm     constraints of ultimate load     constraints of serviceability limits     penalty    

Block coordinate descent with time perturbation for nonconvex nonsmooth problems in real-world studies Research Article

Rui Liu, Wei-chu Sun, Tao Hou, Chun-hong Hu, Lin-bo Qiao,liuruirui@csu.edu.cn,smsysun@foxmail.com,houtao@csu.edu.cn,huchunhong@csu.edu.cn,qiao.linbo@nudt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 10,   Pages 1390-1403 doi: 10.1631/FITEE.1900341

Abstract: due to a large amount of data that needs to be analyzed and the difficulty in solving problems with nonconvexWe aim to minimize the composite of a smooth nonlinear function and a block-separable nonconvex functionenables ATP to escape from saddle points and sub-optimal points, providing a promising way to handle nonconvex

Keywords: 收敛分析;异步块坐标下降法;时间扰动;非凸非平滑优化;真实世界研究    

Title Author Date Type Operation

Anefficient parallel and distributed solution to nonconvex penalized linear SVMs

Lei GUAN, Tao SUN, Lin-bo QIAO, Zhi-hui YANG, Dong-sheng LI, Ke-shi GE, Xi-cheng LU

Journal Article

Reduction potential of the energy penalty for CO capture in CCS

Journal Article

Why does environmental compliance cost more than penalty?

DONG Hongwei

Journal Article

Pulse Transiently Chaotic Neural Network for Nonlinear Constrained Optimization

Li Ying,Cao Hongzhao,Hu Yunchang,Shang Xiuming

Journal Article

Matrix-valued distributed stochastic optimization with constraints

夏子聪,刘洋,卢文联,桂卫华

Journal Article

Evaluation of a novel Asymmetric Genetic Algorithm to optimize the structural design of 3D regular and irregular steel frames

Mohammad Sadegh ES-HAGHI, Aydin SHISHEGARAN, Timon RABCZUK

Journal Article

Block coordinate descent with time perturbation for nonconvex nonsmooth problems in real-world studies

Rui Liu, Wei-chu Sun, Tao Hou, Chun-hong Hu, Lin-bo Qiao,liuruirui@csu.edu.cn,smsysun@foxmail.com,houtao@csu.edu.cn,huchunhong@csu.edu.cn,qiao.linbo@nudt.edu.cn

Journal Article