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A Pareto Strength SCE-UA Algorithm for ReservoirOptimization Operation

Lin Jianyi,Cheng Chuntian,Gu Yanping,Wu Xinyu

Strategic Study of CAE 2007, Volume 9, Issue 10,   Pages 80-82

Abstract:

In this paper,  the Pareto strength SCE-UA algorithm (PSSCE) is's comparing procedure and the population ranking procedure which are respectively based on the Paretodominance relationship and the Pareto strength definition.

Keywords： reservoir optimal operation     constrained optimization     Pareto dominate     Pareto strength     SCE-UA algorithm    

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Evolutionary Algorithms for Multi-objective Optimization and Decision-Making Problems

Xie Tao Chen Huowang

Strategic Study of CAE 2002, Volume 4, Issue 2,   Pages 59-68

Abstract: The researches on multi-objective evolutionary algorithms (MOEA) focus mainly on the Pareto-based comparisonassignment and Riching techniques, etc., so that the population can converge and uniformly distribute in the Paretoand classification of multi-objective optimization and decision-making techniques, analyzes both the Pareto-basedand non-Pareto-based evolutionary algorithms, and,particularly,the five well-known MOEAs.problems related to the researches on MOEAs are addressed in details, such as the characteristics of Pareto

Keywords： evolutionary algorithms     multi-objective optimization and decision-making     Pareto optimal    

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A multi-objective design method for seismic retrofitting of existing reinforced concrete frames using pin-supported rocking walls

Yue CHEN; Rong XU; Hao WU; Tao SHENG

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 9,   Pages 1089-1103 doi: 10.1007/s11709-022-0851-z

Abstract: Over the past several decades, a variety of technical ways have been developed in seismic retrofitting of existing reinforced concrete frames (RFs). Among them, pin-supported rocking walls (PWs) have received much attentions to researchers recently. However, it is still a challenge that how to determine the stiffness demand of PWs and assign the value of the drift concentration factor (DCF) for entire systems rationally and efficiently. In this paper, a design method has been exploited for seismic retrofitting of existing RFs using PWs (RF-PWs) via a multi-objective evolutionary algorithm. Then, the method has been investigated and verified through a practical project. Finally, a parametric analysis was executed to exhibit the strengths and working mechanism of the multi-objective design method. To sum up, the findings of this investigation show that the method furnished in this paper is feasible, functional and can provide adequate information for determining the stiffness demand and the value of the DCF for PWs. Furthermore, it can be applied for the preliminary design of these kinds of structures.

Keywords： retrofit     stiffness demand     drift concentration factor     multi-objective design     genetic algorithm     Paretooptimal solution    

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Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm

Hongbo REN, Yinlong LU, Qiong WU, Xiu YANG, Aolin ZHOU

Frontiers in Energy 2018, Volume 12, Issue 4,   Pages 518-528 doi: 10.1007/s11708-018-0594-7

Abstract: the non-dominated sorting generic algorithm II (NSGA-II) is employed to derive a set of non-dominated ParetoThe diversity of Pareto solutions is conserved by a crowding distance operator, and the best compromisedPareto solution is determined based on the fuzzy set theory.The results obtained from the numerical study indicate that the NSGA-II results in more diversified Pareto

Keywords： optimization     hybrid distributed energy system     non-dominated sorting generic algorithm II     fuzzy set theory     Paretooptimal solution    

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Optimal signal design strategywith improper Gaussian signaling in the Z-interference channel Article

Dan LI, Shan WANG, Fang-lin GU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1900-1912 doi: 10.1631/FITEE.1700030

Abstract: We propose a thoroughly optimal signal design strategy to achieve the Pareto boundary (boundary of theSpecifically, we show that the Pareto boundary has two different schemes determined by the two pathsThe effectiveness of the proposed optimal signal design strategy is supported by simulations, and theThe proposed optimal signal design strategy also provides a simple way to achieve the required rate regionFinally, we provide an in-depth discussion of the structure of the Pareto boundary, characterized by

Keywords： Z-interference channel     Improper Gaussian signaling     Sum-rate     Pareto boundary     Covariance     Pseudo-covariance    

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Pareto lexicographic α-robust approach and its application in robust multi objective assembly line balancing

Ullah SAIF,Zailin GUAN,Baoxi WANG,Jahanzeb MIRZA

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 3,   Pages 257-264 doi: 10.1007/s11465-014-0294-x

Abstract: and solution of multi objective optimization problems exists in the form of a set of solutions called Paretosolutions and from these solutions it might be difficult to decide which Pareto solution can satisfymethod which is a recently introduced method in literature is extended in the current research for ParetoThe proposed method called Pareto lexicographic α-robust approach can define Pareto

Keywords： Pareto     lexicographic α-robust     assembly line balancing    

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System-level Pareto frontiers for on-chip thermoelectric coolers

Sevket U. YURUKER, Michael C. FISH, Zhi YANG, Nicholas BALDASARO, Philip BARLETTA, Avram BAR-COHEN, Bao YANG

Frontiers in Energy 2018, Volume 12, Issue 1,   Pages 109-120 doi: 10.1007/s11708-018-0540-8

Abstract: electrical current are optimized for a given system architecture, a “heat flux vs. temperature difference” Paretooptimization process, 3 pairs of master curves were generated, which were then used to compose the Pareto

Keywords： thermoelectric cooling     thermal management     optimization     high flux electronics    

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Impacts of climate change on optimal mixture design of blended concrete considering carbonation and chloride

Xiao-Yong WANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 473-486 doi: 10.1007/s11709-020-0608-5

Abstract: This study presents a procedure for the optimal mixture design of ternary blended concrete consideringA genetic algorithm is used to find the optimal mixture considering various constraints.

Keywords： ternary blended concrete     climate change     optimal mixture design     carbonation     chloride ingress    

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Numerical investigation and optimal design of fiber Bragg grating based wind pressure sensor

Xiangjie WANG, Danhui DAN, Rong XIAO, Xingfei YAN

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 3,   Pages 286-292 doi: 10.1007/s11709-017-0415-9

Abstract: A wind pressure sensor based on fiber Bragg grating (FBG) for engineering structure was investigated in this paper. We established a transaction model of wind pressure to strain and proposed a method of temperature compensation. By finite element analysis, the basic parameters of the sensor were optimized with the aim of maximum strain under the basic wind pressure proposed in relative design code in China taking geometrical non-linearity into consideration. The result shows that the wind pressure sensor we proposed is well performed and have good sensing properties, which means it is a technically feasible solution.

Keywords： wind pressure measurement     wind pressure sensor     fiber Bragg grating     optimal design    

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A PLATFORM TO AID SELECT THE OPTIMAL TOOL TO DESIGN GUIDE RNAS

Frontiers of Agricultural Science and Engineering   Pages 296-305 doi: 10.15302/J-FASE-2022479

Abstract:

● Summaries on sgRNAs design.

Keywords： CRISPR/Cas     Aid-TG     gene editing     sgRNA design     web server    

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Solving multi-objective optimal power flow problem considering wind-STATCOM using differential evolution

Belkacem MAHDAD, K. SRAIRI

Frontiers in Energy 2013, Volume 7, Issue 1,   Pages 75-89 doi: 10.1007/s11708-012-0222-x

Abstract: based differential evolution was proposed for solving the problem of multi-objective environmental optimal

Keywords： differential evolution     multi-objective function     optimal power flow     economic dispatch     valve point effect    

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Trajectory planning of mobile robots using indirect solution of optimal control method in generalized

M. NAZEMIZADEH, H. N. RAHIMI, K. AMINI KHOIY

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1,   Pages 23-28 doi: 10.1007/s11465-012-0304-9

Abstract:

This paper presents an optimal control strategy for optimal trajectory planning of mobile robots byThen, the optimal path planning of the mobile robot is formulated as an optimal control problem.To solve the problem, an indirect solution of the optimal control method is employed, and conditions

Keywords： mobile robot     trajectory planning     nonlinear dynamic     optimal control    

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Multi-objective optimal allocation strategy for the energy internet in Huangpu District, Guangzhou, China

Pei LI, Guotian CAI, Yuntao ZHANG, Shangjun KE, Peng WANG, Liping GAO

Frontiers in Energy 2020, Volume 14, Issue 2,   Pages 241-253 doi: 10.1007/s11708-020-0660-9

Abstract: maximization and energy efficiency maximization as sub-objectives, the mathematical model of multi-objective optimal

Keywords： generation-grid-load-storage     energy internet     economy-environment-energy efficiency     multi-objective optimal    

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Structural optimal design of a swing vane compressor

Junjie MA,Xiang CHEN,Zongchang QU

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 764-769 doi: 10.1007/s11708-016-0449-z

Abstract: In this paper, a novel swing vane rotary compressor (SVC) was introduced, which had significant advantages—simple mechanism, reduced frictional loss, reliable operation, and a comparatively higher compression ratio. Based on the swing vane compressor geometry model, thermodynamic model and kinetic model, the mathematical model of optimum design was established, and further theoretical and experimental studies were conducted. The length of the cylinder, radius of the rotor and cylinder were defined as design variables and the reciprocal of EER as objective function. The complex optimization method was adopted to study the structure of the swing vane compressor. The theoretical model could provide an effective method for predicting compressor performance, which would also contribute to structural optimization of the SVC. The study shows that the friction loss of the compressor are greatly reduced by optimized design in a given initial value, and the EER increased by 8.55%.

Keywords： swing vane compressor     simulation     optimization design    

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Linear quadratic optimal controller for cable-driven parallel robots

Saeed ABDOLSHAH,Erfan SHOJAEI BARJUEI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 344-351 doi: 10.1007/s11465-015-0364-8

Abstract: A linear quadratic (LQ) optimal controller can provide all the states of a system for the feedback, suchThus, the application of such an optimal controller in cable-driven parallel robots can result in moreThis paper presents an approach to apply the LQ optimal controller on cable-driven parallel robots.To employ the optimal control theory, the static and dynamic modeling of a 3-DOF planar cable-drivenThe synthesis of the LQ optimal control is described, and the significant experimental results are presented

Keywords： accuracy     cable-driven parallel robot     linear quadratic optimal control    

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Title Author Date Type Operation

A Pareto Strength SCE-UA Algorithm for ReservoirOptimization Operation

Lin Jianyi,Cheng Chuntian,Gu Yanping,Wu Xinyu

Journal Article

Evolutionary Algorithms for Multi-objective Optimization and Decision-Making Problems

Xie Tao Chen Huowang

Journal Article

A multi-objective design method for seismic retrofitting of existing reinforced concrete frames using pin-supported rocking walls

Yue CHEN; Rong XU; Hao WU; Tao SHENG

Journal Article

Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm

Hongbo REN, Yinlong LU, Qiong WU, Xiu YANG, Aolin ZHOU

Journal Article

Optimal signal design strategywith improper Gaussian signaling in the Z-interference channel

Dan LI, Shan WANG, Fang-lin GU

Journal Article

Pareto lexicographic α-robust approach and its application in robust multi objective assembly line balancing

Ullah SAIF,Zailin GUAN,Baoxi WANG,Jahanzeb MIRZA

Journal Article

System-level Pareto frontiers for on-chip thermoelectric coolers

Sevket U. YURUKER, Michael C. FISH, Zhi YANG, Nicholas BALDASARO, Philip BARLETTA, Avram BAR-COHEN, Bao YANG

Journal Article

Impacts of climate change on optimal mixture design of blended concrete considering carbonation and chloride

Xiao-Yong WANG

Journal Article

Numerical investigation and optimal design of fiber Bragg grating based wind pressure sensor

Xiangjie WANG, Danhui DAN, Rong XIAO, Xingfei YAN

Journal Article

A PLATFORM TO AID SELECT THE OPTIMAL TOOL TO DESIGN GUIDE RNAS

Journal Article

Solving multi-objective optimal power flow problem considering wind-STATCOM using differential evolution

Belkacem MAHDAD, K. SRAIRI

Journal Article

Trajectory planning of mobile robots using indirect solution of optimal control method in generalized

M. NAZEMIZADEH, H. N. RAHIMI, K. AMINI KHOIY

Journal Article

Multi-objective optimal allocation strategy for the energy internet in Huangpu District, Guangzhou, China

Pei LI, Guotian CAI, Yuntao ZHANG, Shangjun KE, Peng WANG, Liping GAO

Journal Article

Structural optimal design of a swing vane compressor

Junjie MA,Xiang CHEN,Zongchang QU

Journal Article

Linear quadratic optimal controller for cable-driven parallel robots

Saeed ABDOLSHAH,Erfan SHOJAEI BARJUEI

Journal Article