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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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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 objectivefor optimization.Therefore considering multi-objective IPPS (MOIPPS) problem is inevitable.In this paper, an optimization algorithm for solving MOIPPS problem is presented.The proposed algorithm uses a set of dispatching rules coupled with priority assignment to optimize the

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

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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    

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A new technique for solving the multi-objective optimization problem using hybrid approach

Mimoun YOUNES,Khodja FOUAD,Belabbes BAGDAD

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 490-503 doi: 10.1007/s11708-014-0311-0

Abstract: The economic power dispatch problem has, therefore, become a multi-objective optimization problem.To achieve a good design with different solutions in a multi-objective optimization problem, fuel costNow the power dispatch is formulated into a bi-objective optimization problem, two objectives with twoalgorithms, firefly algorithm for optimization the fuel cost, pollutant emissions and the real geneticeffectiveness of the proposed approach is demonstrated by comparing its performance with other evolutionary multi-objective

Keywords： economic power dispatch (EPD)     firefly algorithm (FFA)     real genetic algorithm (RGA)     hybrid method    

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Multi-objective optimization of combustion, performance and emission parameters in a jatropha biodieselengine using Non-dominated sorting genetic algorithm-II

Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 1,   Pages 81-94 doi: 10.1007/s11465-014-0287-9

Abstract: These regression equations are further utilized for simultaneous optimization of combustion (BSFC, Pobjective is to maximize BTE and minimize BSFC, Pmax, CO, NOx, HC, smoke, a multi-objective optimization problem is formulated.Non-dominated sorting genetic algorithm-II is used in predicting the Pareto optimal sets of solution.

Keywords： jatropha biodiesel     fuel properties     response surface methodology     multi-objective optimization     non-dominatedsorting genetic algorithm-II    

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Multi-objective optimization of molten carbonate fuel cell system for reducing CO

Ramin ROSHANDEL,Majid ASTANEH,Farzin GOLZAR

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 106-114 doi: 10.1007/s11708-014-0341-7

Abstract: By applying multi-objective optimization (MOO) using the genetic algorithm, the optimal values of operatingload and the corresponding values of objective functions are obtained.Objective functions are minimization of the cost of electricity (COE) and minimization of CO emissionCO tax that is accounted as the pollution-related cost, transforming the environmental objective to

Keywords： molten carbonate fuel cell (MCFC)     multi-objective optimization (MOO)     Pareto curve     genetic algorithm     CO    

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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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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.The 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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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:

In this paper, a multi-objective optimization model is established for the investment plan and operationenvironmental benefits, the overall annual cost and emissions of CO2 equivalents are selected as the objectiveTo solve the optimization model, the non-dominated sorting generic algorithm II (NSGA-II) is employedan illustrative example, a hotel building is selected for study to verify the effectiveness of the optimizationmodel and the solving algorithm.

Keywords： multi-objective optimization     hybrid distributed energy system     non-dominated sorting generic algorithm    

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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: fuzzy 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 numeratorcrop planting structure optimization systems.

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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Hybrid optimization algorithm for modeling and management of micro grid connected system

Kallol ROY,Kamal Krishna MANDAL

Frontiers in Energy 2014, Volume 8, Issue 3,   Pages 305-314 doi: 10.1007/s11708-014-0308-8

Abstract: In this paper, a hybrid optimization algorithm is proposed for modeling and managing the micro grid (The management of distributed energy sources with MG is a multi-objective problem which consists of windsource of the MG units are needed to describe the operating cost of the output power generated, the objectiveHere, the hybrid algorithm is obtained as artificial bee colony (ABC) algorithm, which is used in two

Keywords： micro grid (MG)     multi-objective function     artificial bee colony (ABC)     fuel cost     operation and maintenance    

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Multi-objective optimization for the multi-mode finance-based project scheduling problem

Sameh Al-SHIHABI, Mohammad AlDURGAM

Frontiers of Engineering Management 2020, Volume 7, Issue 2,   Pages 223-237 doi: 10.1007/s42524-020-0097-1

Abstract: No exact models are available for contractors who look for optimal solutions to the multi-objective MMFBSPMoreover, its current version, CPLEX 12.9, solves multi-objective optimization problems.This study presents a mixed-integer linear programming model for the multi-objective MMFBSP.Using CPLEX 12.9, we discuss several techniques that researchers can use to optimize a multi-objectiveWe also show how to solve multi-objective optimization problems by using CPLEX 12.9 and how computation

Keywords： multi-objective optimization     finance-based scheduling     multi-mode project scheduling     mixed-integer linear    

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Hybrid genetic algorithm for bi-objective resource-constrained project scheduling

Fikri KUCUKSAYACIGIL, Gündüz ULUSOY

Frontiers of Engineering Management 2020, Volume 7, Issue 3,   Pages 426-446 doi: 10.1007/s42524-020-0100-x

Abstract: In this study, we considered a bi-objective, multi-project, multi-mode resource-constrained project schedulingWe adopted three objective pairs as combinations of the net present value (NPV) as a financial performanceWe developed a hybrid non-dominated sorting genetic algorithm II (hybrid-NSGA-II) as a solution methodThe BFP and injection procedures led to improved objective functional values.Solutions were obtained for the objective pairs using hybrid-NSGA-II and three different test problem

Keywords： backward–forward scheduling     hybrid bi-objective genetic algorithm     injection procedure     maximum cash balance     multi-objective multi-project multi-mode resource-constrained project scheduling problem    

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Title Author Date Type Operation

Multi-objective particle swarm cooperative optimization algorithm for state parameters

Ding Lei,Wu Min,She Jinhua,Duan Ping

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

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

A new technique for solving the multi-objective optimization problem using hybrid approach

Mimoun YOUNES,Khodja FOUAD,Belabbes BAGDAD

Journal Article

Multi-objective optimization of combustion, performance and emission parameters in a jatropha biodieselengine using Non-dominated sorting genetic algorithm-II

Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey

Journal Article

Multi-objective optimization of molten carbonate fuel cell system for reducing CO

Ramin ROSHANDEL,Majid ASTANEH,Farzin GOLZAR

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

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

Yilei Lu, Yunqing Huang, Siyu Zeng, Can Wang

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

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

Hybrid optimization algorithm for modeling and management of micro grid connected system

Kallol ROY,Kamal Krishna MANDAL

Journal Article

Multi-objective optimization for the multi-mode finance-based project scheduling problem

Sameh Al-SHIHABI, Mohammad AlDURGAM

Journal Article

Hybrid genetic algorithm for bi-objective resource-constrained project scheduling

Fikri KUCUKSAYACIGIL, Gündüz ULUSOY

Journal Article