Process-based simulation library SALMO-OO for lake ecosystems. Part 2: Multi-objective parameter optimization by evolutionary algorithms

Hongqing Cao; Friedrich Recknagel; Lydia Cetin; Byron Zhang

doi:10.1016/j.ecoinf.2008.02.001

Process-based simulation library SALMO-OO for lake ecosystems. Part 2: Multi-objective parameter optimization by evolutionary algorithms

Ecological Informatics ◽

10.1016/j.ecoinf.2008.02.001 ◽

2008 ◽

Vol 3 (2) ◽

pp. 181-190 ◽

Cited By ~ 14

Author(s):

Hongqing Cao ◽

Friedrich Recknagel ◽

Lydia Cetin ◽

Byron Zhang

Keyword(s):

Evolutionary Algorithms ◽

Parameter Optimization ◽

Lake Ecosystems ◽

Multi Objective ◽

Objective Parameter

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Multi-objective parameter optimization of a series hybrid electric vehicle using evolutionary algorithms

2009 IEEE Vehicle Power and Propulsion Conference ◽

10.1109/vppc.2009.5289749 ◽

2009 ◽

Cited By ~ 6

Author(s):

Bingzhan Zhang ◽

Zhihang Chen ◽

C. Mi ◽

Y.L. Murphey

Keyword(s):

Evolutionary Algorithms ◽

Electric Vehicle ◽

Parameter Optimization ◽

Hybrid Electric Vehicle ◽

Multi Objective ◽

Series Hybrid Electric Vehicle ◽

Objective Parameter ◽

Hybrid Electric

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Surrogate-Assisted Multi-Objective Parameter Optimization for Production Planning Systems

Computer Aided Systems Theory – EUROCAST 2019 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-45093-9_29 ◽

2020 ◽

pp. 239-246

Author(s):

Johannes Karder ◽

Andreas Beham ◽

Andreas Peirleitner ◽

Klaus Altendorfer

Keyword(s):

Production Planning ◽

Parameter Optimization ◽

Planning Systems ◽

Multi Objective ◽

Objective Parameter

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Multi-Objective Parameter Optimization to Improve Machining Performance on Deep Drilling Process

International Journal of Machining and Machinability of Materials ◽

10.1504/ijmmm.2021.10041677 ◽

2021 ◽

Vol 23 (1) ◽

pp. 1

Author(s):

Seyyed Mohammadbagher Tabatabaei ◽

Seyyed Ali Latifi Rostami ◽

Yousef Shokoohi ◽

Amin Kolahdooz ◽

Esmaeil Damavandi

Keyword(s):

Parameter Optimization ◽

Drilling Process ◽

Machining Performance ◽

Deep Drilling ◽

Multi Objective ◽

Objective Parameter

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Multi-objective parameter optimization of turbine impeller based on RBF neural network and NSGA-II genetic algorithm

Energy Reports ◽

10.1016/j.egyr.2021.10.003 ◽

2021 ◽

Vol 7 ◽

pp. 584-593

Author(s):

Yunguang Ji ◽

Zhikuo Yang ◽

Jingyu Ran ◽

Hongtao Li

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Parameter Optimization ◽

Rbf Neural Network ◽

Nsga Ii ◽

Multi Objective ◽

Objective Parameter ◽

Turbine Impeller

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Multi-Objective Parameter Optimization of a Four-Plate Capacitive Power Transfer System

IEEE Journal of Emerging and Selected Topics in Power Electronics ◽

10.1109/jestpe.2020.2979990 ◽

2020 ◽

pp. 1-1

Author(s):

Xueying Wu ◽

Yugang Su ◽

Aiguo Patrick Hu ◽

Xiaodong Qing ◽

Xinyu Hou

Keyword(s):

Parameter Optimization ◽

Transfer System ◽

Power Transfer ◽

Multi Objective ◽

Objective Parameter

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Multi-objective Parameter Optimization Design of Six-pole Radial Hybrid Magnetic Bearing

IEEE Journal of Emerging and Selected Topics in Power Electronics ◽

10.1109/jestpe.2021.3125488 ◽

2021 ◽

pp. 1-1

Author(s):

Hao Zhang ◽

Huangqiu Zhu ◽

Mengyao Wu

Keyword(s):

Parameter Optimization ◽

Optimization Design ◽

Magnetic Bearing ◽

Multi Objective ◽

Objective Parameter ◽

Parameter Optimization Design

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Single- and multi-objective parameter optimization in a tool for designing PV-diesel-battery systems

2018 7th International Energy and Sustainability Conference (IESC) ◽

10.1109/iesc.2018.8439998 ◽

2018 ◽

Author(s):

Arjun Bruck ◽

Silvan Fasbender ◽

Eberhard Waffenschmidt

Keyword(s):

Parameter Optimization ◽

Multi Objective ◽

Objective Parameter ◽

Battery Systems

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Multi-Objective Parameter Optimization for Cross-Sectional Deformation of Double-Ridged Rectangular Tube in Rotary Draw Bending by Using Response Surface Methodology and NSGA-II

Metals ◽

10.3390/met7060206 ◽

2017 ◽

Vol 7 (6) ◽

pp. 206 ◽

Cited By ~ 3

Author(s):

Honglie Zhang ◽

Yuli Liu ◽

Chunmei Liu

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Parameter Optimization ◽

Rotary Draw Bending ◽

Nsga Ii ◽

Cross Sectional ◽

Multi Objective ◽

Objective Parameter ◽

Rectangular Tube ◽

Draw Bending

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Multi-objective parameter optimization of permanent magnetic eddy-current couplings using multiple population genetic algorithm

International Journal of Applied Electromagnetics and Mechanics ◽

10.3233/jae-160131 ◽

2017 ◽

Vol 55 (3) ◽

pp. 359-372 ◽

Cited By ~ 1

Author(s):

Dazhi Wang ◽

Tongyu Shi ◽

Xingyu Wang ◽

Xinghua Wang

Keyword(s):

Genetic Algorithm ◽

Parameter Optimization ◽

Eddy Current ◽

Population Genetic ◽

Multi Objective ◽

Objective Parameter ◽

Multiple Population ◽

Population Genetic Algorithm

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Multibody Model-Based Multi-Objective Parameter Optimization Of Aircraft Landing Gears

IUTAM Symposium on Optimization of Mechanical Systems - Solid Mechanics and its Applications ◽

10.1007/978-94-009-0153-7_41 ◽

1996 ◽

pp. 325-332 ◽

Cited By ~ 1

Author(s):

H. Wentscher ◽

W. Kortüm

Keyword(s):

Parameter Optimization ◽

Multi Objective ◽

Multibody Model ◽

Model Based ◽

Aircraft Landing ◽

Objective Parameter ◽

Landing Gears

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