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Attuned design of demand response program and M-FACTS for relieving congestion in a restructured market environment

Y. HASHEMI,H. SHAYEGHI,B. HASHEMI

Frontiers in Energy 2015, Volume 9, Issue 3,   Pages 282-296 doi: 10.1007/s11708-015-0366-6

Abstract: A multi-objective problem (MOP) based on the sum of the payments received by the generators for changingFor the solution of this problem a nonlinear time-varying evolution (NTVE) based multi-objective particleswarm optimization (MOPSO) style is formed.employed for finding the best compromise solution from the set of Pareto-solutions obtained through multi-objectiveparticle swarm optimization-nonlinear time-varying evolution (MOPSO-NTVE).

Keywords： multi-converter flexible alternative current transmission systems (M-FACTS)     demand response     fuzzy decisionmaking     multi-objective particle swarm optimization-nonlinear time-varying evolution (MOPSO-NTVE)    

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Multi-objective optimization in a finite time thermodynamic method for dish-Stirling by branch and boundmethod and MOPSO algorithm

Mohammad Reza NAZEMZADEGAN, Alibakhsh KASAEIAN, Somayeh TOGHYANI, Mohammad Hossein AHMADI, R. SAIDUR, Tingzhen MING

Frontiers in Energy 2020, Volume 14, Issue 3,   Pages 649-665 doi: 10.1007/s11708-018-0548-0

Abstract: In addition to the four-objective optimization, three-objective, two-objective, and single-objectiveThe algorithm of multi-objective particle swarm optimization (MOPSO) with post-expression of preferencesis used for multi-objective optimizations while the branch and bound algorithm with pre-expression ofpreferences is used for single-objective and multi-objective optimizations.In the case of multi-objective optimizations with post-expression of preferences, Pareto optimal front

Keywords： dish-Stirling     finite time model     branch and bound algorithm     multi-objective particle swarm optimization(MOPSO)    

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Multi-objective particle swarm cooperative optimization algorithm for state parameters

Ding Lei,Wu Min,She Jinhua,Duan Ping

Strategic Study of CAE 2010, Volume 12, Issue 2,   Pages 101-107

Abstract: particle swarm cooperative optimization algorithm is proposed.Firstly, the multi-objective optimization model for burn-through point and synthetic permeability isSecondly, an improved multi-objective particle swarm cooperative optimization algorithm is presentedFinally, the proposed multi-objective optimization algorithm is applied to optimize the synthetic permeabilityThe simulation results show that the proposed multi-objective optimization algorithm effectively solves

Keywords： lead-zinc sintering process     synthetic permeability     burn-through point     multi-objective particle swarmcooperative optimization algorithm    

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Time-varying formation tracking for uncertain second-order nonlinearmulti-agent systems

Mao-peng RAN, Li-hua XIE, Jun-cheng LI

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1,   Pages 76-87 doi: 10.1631/FITEE.1800557

Abstract:

Our study is concerned with the time-varying formation tracking problem for second-order multi-agentsystems that are subject to unknown nonlinear dynamics and external disturbance, and the states of thefollowers form a predefined time-varying formation while tracking the state of the leader.Then we propose a novel ESO based time-varying formation tracking protocol.It is proved that, under the proposed protocol, the ESO estimation error and the time-varying formation

Keywords： Multi-agent system     Time-varying formation     Formation tracking     Nonlinear dynamics     Extended state observer    

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reference tracking control design for a class of nonlinear systems with time-varying delays

Mei-qin LIU,Hai-yang CHEN,Sen-lin ZHANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 9,   Pages 759-768 doi: 10.1631/FITEE.1500053

Abstract: This paper investigates the trajectory tracking control for a class of nonlinear systems with timevaryingA unified model consisting of a linear delayed dynamic system and a bounded static nonlinear operatoris introduced, which covers most of the nonlinear systems with bounded nonlinear terms, such as the

Keywords： H∞     reference tracking     Nonlinear system     State feedback control     Time-varying delays     Unified model    

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Network Planning Multi-objective Optimization Based on Differential Evolution

Li Gaoyang,Wu Yuhua,Liu Mingguang

Strategic Study of CAE 2006, Volume 8, Issue 6,   Pages 60-63

Abstract:

Based on the synthetic study of costing, quality and construction period, the multi-objective optimalThen, a new method called differential evolution is introduced into the multi-objective optimization.

Keywords： network planning     multi-objective optimization     differential evolution     net profit     quality    

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A multiscale-contour-based interpolation framework for generating a time-varying quasi-dense point cloud

Chu-hua HUANG,Dong-ming LU,Chang-yu DIAO

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 422-434 doi: 10.1631/FITEE.1500316

Abstract: efficient framework to reconstruct 3D dynamic objects using a multiscale-contour-based interpolation from multi-view

Keywords： Multi-view video     Free-viewpoint video     Point-pair     Multiscale-contour-based interpolation     Spatio-temporal-contour     Consistency     Time-varying point cloud sequence    

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Optimization of multi-objective integrated process planning and scheduling problem using a priority basedoptimization algorithm

Muhammad Farhan AUSAF,Liang GAO,Xinyu LI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 392-404 doi: 10.1007/s11465-015-0353-y

Abstract: been limited to solving the integrated process planning and scheduling (IPPS) problem for a single objectiveprocess planning and scheduling, real world problems cannot be fully captured considering only a single objectivefor optimization.Therefore considering multi-objective IPPS (MOIPPS) problem is inevitable.In this paper, an optimization algorithm for solving MOIPPS problem is presented.

Keywords： integrated process planning and scheduling (IPPS)     dispatching rules     priority based optimization algorithm     multi-objective optimization    

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Fatigue and impact analysis and multi-objective optimization design of Mg/Al assembled wheel considering

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0701-7

Abstract: The multi-material assembled light alloy wheel presents an effective lightweight solution for new energyobjective.The connection-performance integration multi-objective optimization design of the assembled wheel consideringThe optimization results of the three weighting methods were compared, and the optimal combination ofThe fatigue and impact performance of the Mg/Al assembled wheel were effectively improved after optimization

Keywords： magnesium/aluminum assembled wheel     riveting residual stress     fatigue analysis     impact analysis     multi-objectiveoptimization    

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Multi-objective optimization of surface texture for the slipperswash plate interface in EHA pumps

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0704-4

Abstract: This study proposes a multi-objective optimization model to obtain the arbitrarily surface textures designof the lubrication film model, the component dynamic model considering the spinning motion, and the multi-objectiveoptimization model.

Keywords： electro-hydrostatic actuator     axial piston pump     slipper/swash plate interface     multi-objective optimization    

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RETRACTED ARTICLE: Dynamic stability enhancement of interconnected multi-source power systems using hierarchicalANFIS controller-TCSC based on multi-objective PSO Article

Ali Darvish FALEHI,Ali MOSALLANEJAD

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 3,   Pages 394-409 doi: 10.1631/FITEE.1500317

Abstract: multi-source interconnected power system.For this purpose, a multi-objective optimization technique is inevitable.Multi-objective particle swarm optimization (MOPSO) has been chosen for this optimization problem, owingthe suggested HANFISC-TCSC has been precisely evaluated and compared with that of the conventional MOPSO-TCSCsystems have transparently certified the high performance of HANFISC-TCSC compared to the conventional MOPSO-TCSC

Keywords： controller (HANFISC)     Thyristor-controlled series compensator (TCSC)     Automatic generation control (AGC)     Multi-objectiveparticle swarm optimization (MOPSO)     Power system dynamic stability     Interconnected multi-source power    

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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: In this paper, a simple strategy based differential evolution was proposed for solving the problem ofmulti-objective environmental optimal power flow considering a hybrid model (Wind-Shunt-FACTS).optimized simultaneously a combined vector control based active power of wind sources and reactive power of multiwith smooth cost function to solve the problem of security environmental economic dispatch considering multiSimulation results demonstrate that choosing the installation of multi type of FACTS devices in coordination

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

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Scenario-based assessment and multi-objective optimization of urban development plan with carrying capacity

Yilei Lu, Yunqing Huang, Siyu Zeng, Can Wang

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 2, doi: 10.1007/s11783-019-1200-x

Abstract: Multi-objective optimization revealing system trade-off facilitate the regulation.compared the pressure with the carrying capacity threshold to verify the system status; finally, a multi-objectiveoptimization method was used to propose regulation solutions.that overloading problems occurred in 11 out of the 13 zones in Zhoushan, with the potential pressure varyingThe optimization of industrial development showed that the pressure could be controlled under the carrying

Keywords： Urban development plan     Urban water system     Carrying capacity     Scenario analysis     Multi-objective optimization    

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Uncertain and multi-objective programming models for crop planting structure optimization

Mo LI,Ping GUO,Liudong ZHANG,Chenglong ZHANG

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 1,   Pages 34-45 doi: 10.15302/J-FASE-2016084

Abstract: The complexities of fluctuating stream conditions, varying economic profits, and uncertainties and errorsfuzzy linear multi-objective programming model was developed, which is capable of reflecting both uncertaintiesand multi-objective.In addition, a multi-objective fractional programming model for crop structure optimization was alsodeveloped to quantitatively express the multi-objective in one optimization model with the numerator

Keywords： crop planting structure     optimization model     uncertainty     multi-objective    

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Multi-objective genetic algorithms based structural optimization and experimental investigation of the

Pengxing YI,Lijian DONG,Tielin SHI

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 354-367 doi: 10.1007/s11465-014-0319-5

Abstract: improve the dynamic performance and reduce the weight of the planet carrier in wind turbine gearbox, a multi-objectiveoptimization method, which is driven by the maximum deformation, the maximum stress and the minimumAnd a multi-objective genetic algorithm (MOGA) is applied to determine the direction of optimization.

Keywords： planet carrier     multi-objective optimization     genetic algorithms     wind turbine gearbox     modal experiment    

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Title Author Date Type Operation

Attuned design of demand response program and M-FACTS for relieving congestion in a restructured market environment

Y. HASHEMI,H. SHAYEGHI,B. HASHEMI

Journal Article

Multi-objective optimization in a finite time thermodynamic method for dish-Stirling by branch and boundmethod and MOPSO algorithm

Mohammad Reza NAZEMZADEGAN, Alibakhsh KASAEIAN, Somayeh TOGHYANI, Mohammad Hossein AHMADI, R. SAIDUR, Tingzhen MING

Journal Article

Multi-objective particle swarm cooperative optimization algorithm for state parameters

Ding Lei,Wu Min,She Jinhua,Duan Ping

Journal Article

Time-varying formation tracking for uncertain second-order nonlinearmulti-agent systems

Mao-peng RAN, Li-hua XIE, Jun-cheng LI

Journal Article

reference tracking control design for a class of nonlinear systems with time-varying delays

Mei-qin LIU,Hai-yang CHEN,Sen-lin ZHANG

Journal Article

Network Planning Multi-objective Optimization Based on Differential Evolution

Li Gaoyang,Wu Yuhua,Liu Mingguang

Journal Article

A multiscale-contour-based interpolation framework for generating a time-varying quasi-dense point cloud

Chu-hua HUANG,Dong-ming LU,Chang-yu DIAO

Journal Article

Optimization of multi-objective integrated process planning and scheduling problem using a priority basedoptimization algorithm

Muhammad Farhan AUSAF,Liang GAO,Xinyu LI

Journal Article

Fatigue and impact analysis and multi-objective optimization design of Mg/Al assembled wheel considering

Journal Article

Multi-objective optimization of surface texture for the slipperswash plate interface in EHA pumps

Journal Article

RETRACTED ARTICLE: Dynamic stability enhancement of interconnected multi-source power systems using hierarchicalANFIS controller-TCSC based on multi-objective PSO

Ali Darvish FALEHI,Ali MOSALLANEJAD

Journal Article

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

Belkacem MAHDAD, K. SRAIRI

Journal Article

Scenario-based assessment and multi-objective optimization of urban development plan with carrying capacity

Yilei Lu, Yunqing Huang, Siyu Zeng, Can Wang

Journal Article

Uncertain and multi-objective programming models for crop planting structure optimization

Mo LI,Ping GUO,Liudong ZHANG,Chenglong ZHANG

Journal Article

Multi-objective genetic algorithms based structural optimization and experimental investigation of the

Pengxing YI,Lijian DONG,Tielin SHI

Journal Article