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A many-objective evolutionary algorithm based on decomposition with dynamic resource allocation for irregularoptimization Research Articles

Ming-gang Dong, Bao Liu, Chao Jing,jingchao@glut.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8,   Pages 1119-1266 doi: 10.1631/FITEE.1900321

Abstract: The multi-objective optimization problem has been encountered in numerous fields such as high-speed trainConsidering this situation, we propose a many-objective evolutionary algorithm based on decompositionwith (MaOEA/D-DRA) for irregular optimization.The proposed algorithm is compared with five state-of-the-art many-objective evolutionary algorithmsusing a variety of test problems with .

Keywords： Many-objective optimization problems     Irregular Pareto front     External archive     Dynamic resource allocation    

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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:

Multi-objective optimization (MOO) and decision-making (DM) has become an important research areaThe researches on multi-objective evolutionary algorithms (MOEA) focus mainly on the Pareto-based comparisonThis paper presents an introduction to the history and classification of multi-objective optimizationSome problems related to the researches on MOEAs are addressed in details, such as the characteristicsMOEAs, the MOEA convergence analysis, the MOEA parallelization, and the disposal of real world MOO problems

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

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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 designlubrication 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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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 objectiveAs there are many conflicting objectives when dealing with process planning and scheduling, real worldproblems cannot be fully captured considering only a single objective for 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: design variables, and the fatigue and impact performance of the assembled wheel was defined as the optimizationobjective.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 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: 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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A review of intelligent optimization for group scheduling problems in cellular manufacturing

Frontiers of Engineering Management   Pages 406-426 doi: 10.1007/s42524-022-0242-0

Abstract: , and enhance the flexibility of manufacturing, especially cellular manufacturing, group scheduling problemswith different constraints and their optimization methods.All literature is classified according to the number of objective functions, number of machines, andoptimization algorithms.Last but not least, outlooks are given for outspread problems and problem algorithms for future research

Keywords： cellular manufacturing     group scheduling     flowshop     literature review    

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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: Moreover, 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 test our model by solving several problems from the literature.We 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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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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Solving topology optimization problems by the Guide-Weight method

Xinjun LIU, Zhidong LI, Liping WANG, Jinsong WANG

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 1,   Pages 136-150 doi: 10.1007/s11465-010-0126-6

Abstract:

Finding a good solution method for topology optimization problems is always paid attention to by theare subject to the large number of the design variables and to the complexity that occurs because the objectiveproposed first by Chen in 1980s, was effectively and successfully used in antenna structures’ optimizationWhen the Guide-Weight method is applied into topology optimization, it works very well with unified andalgorithm of the Guide-Weight method and the improvement on it are described; two formulations of topology optimization

Keywords： Guide-Weight method     topology optimization     SIMP method    

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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 assessment results showed that overloading problems occurred in 11 out of the 13 zones in ZhoushanThe 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 optimization

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

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

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: During this investigation, four objective functions have been optimized simultaneously, including powerIn 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.

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

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Multi-objective dynamic optimization model for China’s road transport energy technology switching

Dan GAO , Zheng LI , Feng FU , Linwei MA

Frontiers in Energy 2009, Volume 3, Issue 3,   Pages 247-253 doi: 10.1007/s11708-009-0048-3

Abstract: However, one of the difficulties is to address the issue of multi-objective and conflicting constrainsIn this paper, a dynamic optimization model was established, which can be used to analyze the road transportenergy technology switching under multi-objective constrains.

Keywords： technology switching     transport energy system     multi-objective     CO2 mitigation    

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Multi-objective design optimization of a large-scale direct-drive permanent magnet generator for wind

Arash Hasssanpour ISFAHANI,Amirhossein Haji-Seyed BOROUJERDI,Saeed HASANZADEH

Frontiers in Energy 2014, Volume 8, Issue 2,   Pages 182-191 doi: 10.1007/s11708-014-0320-z

Abstract: This paper presents a simultaneous multi-objective optimization of a direct-drive permanent magnet synchronousAnalytical models of the generator and the turbine are used along with the cost model for optimizationgenerator and blades, the annual energy output and the total mass of generator and blades are chosen as objectivefunctions for a multi-objective optimization.

Keywords： permanent magnet synchronous generator     wind turbine     direct-drive     multi-objective optimization     cost     mass    

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Title Author Date Type Operation

A many-objective evolutionary algorithm based on decomposition with dynamic resource allocation for irregularoptimization

Ming-gang Dong, Bao Liu, Chao Jing,jingchao@glut.edu.cn

Journal Article

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

Xie Tao Chen Huowang

Journal Article

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

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 genetic algorithms based structural optimization and experimental investigation of the

Pengxing YI,Lijian DONG,Tielin SHI

Journal Article

A review of intelligent optimization for group scheduling problems in cellular manufacturing

Journal Article

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

Sameh Al-SHIHABI, Mohammad AlDURGAM

Journal Article

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

Ramin ROSHANDEL,Majid ASTANEH,Farzin GOLZAR

Journal Article

Solving topology optimization problems by the Guide-Weight method

Xinjun LIU, Zhidong LI, Liping WANG, Jinsong WANG

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

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

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

Journal Article

Multi-objective dynamic optimization model for China’s road transport energy technology switching

Dan GAO , Zheng LI , Feng FU , Linwei MA

Journal Article

Multi-objective design optimization of a large-scale direct-drive permanent magnet generator for wind

Arash Hasssanpour ISFAHANI,Amirhossein Haji-Seyed BOROUJERDI,Saeed HASANZADEH

Journal Article