A modular neural network-based population prediction strategy for evolutionary dynamic multi-objective optimization

Swarm and Evolutionary Computation ◽

10.1016/j.swevo.2020.100829 ◽

2021 ◽

Vol 62 ◽

pp. 100829

Author(s):

Sanyi Li ◽

Shengxiang Yang ◽

Yanfeng Wang ◽

Weichao Yue ◽

Junfei Qiao

Keyword(s):

Neural Network ◽

Multi Objective Optimization ◽

Evolutionary Dynamic ◽

Modular Neural Network ◽

Multi Objective ◽

Population Prediction ◽

Prediction Strategy

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A prediction strategy based on center points and knee points for evolutionary dynamic multi-objective optimization

Applied Soft Computing ◽

10.1016/j.asoc.2017.08.004 ◽

2017 ◽

Vol 61 ◽

pp. 806-818 ◽

Cited By ~ 29

Author(s):

Juan Zou ◽

Qingya Li ◽

Shengxiang Yang ◽

Hui Bai ◽

Jinhua Zheng

Keyword(s):

Multi Objective Optimization ◽

Evolutionary Dynamic ◽

Multi Objective ◽

Prediction Strategy

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Improved Population Prediction Strategy for Dynamic Multi-Objective Optimization Algorithms Using Transfer Learning

2021 IEEE Congress on Evolutionary Computation (CEC) ◽

10.1109/cec45853.2021.9504877 ◽

2021 ◽

Author(s):

Zhening Liu ◽

Handing Wang

Keyword(s):

Transfer Learning ◽

Optimization Algorithms ◽

Multi Objective Optimization ◽

Multi Objective ◽

Population Prediction ◽

Prediction Strategy

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Multi-objective Optimization in Drilling Kevlar Fiber Reinforced Polymer Using Grey Fuzzy Analysis and Backpropagation Neural Network–Genetic Algorithm (BPNN–GA) Approaches

International Journal of Precision Engineering and Manufacturing ◽

10.1007/s12541-019-00017-z ◽

2019 ◽

Vol 20 (4) ◽

pp. 593-607 ◽

Cited By ~ 8

Author(s):

Bobby O. P. Soepangkat ◽

Bambang Pramujati ◽

Mohammad Khoirul Effendi ◽

Rachmadi Norcahyo ◽

A. M. Mufarrih

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Fiber Reinforced Polymer ◽

Multi Objective Optimization ◽

Fiber Reinforced ◽

Backpropagation Neural Network ◽

Fuzzy Analysis ◽

Multi Objective ◽

Kevlar Fiber ◽

Reinforced Polymer

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A neural network approach to the combined multi-objective optimization of the thermodynamic cycle and the radial inflow turbine for Organic Rankine cycle applications

Applied Energy ◽

10.1016/j.apenergy.2019.01.035 ◽

2019 ◽

Vol 237 ◽

pp. 210-226 ◽

Cited By ~ 10

Author(s):

Laura Palagi ◽

Enrico Sciubba ◽

Lorenzo Tocci

Keyword(s):

Neural Network ◽

Organic Rankine Cycle ◽

Thermodynamic Cycle ◽

Rankine Cycle ◽

Network Approach ◽

Multi Objective Optimization ◽

Neural Network Approach ◽

Multi Objective ◽

Radial Inflow Turbine

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Multi-objective optimization of a biomass gasification to generate electricity and desalinated water using Grey Wolf Optimizer and artificial neural network

Chemosphere ◽

10.1016/j.chemosphere.2021.131980 ◽

2021 ◽

pp. 131980

Author(s):

Farayi Musharavati ◽

Alireza Khoshnevisan ◽

Seyed Mojtaba Alirahmi ◽

Pouria Ahmadi ◽

Shoaib Khanmohammadi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Biomass Gasification ◽

Grey Wolf Optimizer ◽

Grey Wolf ◽

Multi Objective Optimization ◽

Multi Objective ◽

Desalinated Water ◽

Artificial Neural

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A deep neural network with a fuzzy multi-objective optimization model for fault analysis in an elastic optical network

Optical Switching and Networking ◽

10.1016/j.osn.2021.100644 ◽

2022 ◽

Vol 43 ◽

pp. 100644

Author(s):

André Luiz Ferraz Lourenço ◽

Amílcar Careli César

Keyword(s):

Neural Network ◽

Optimization Model ◽

Deep Neural Network ◽

Optical Network ◽

Fault Analysis ◽

Multi Objective Optimization ◽

Multi Objective ◽

Elastic Optical Network

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Neural network based multi objective optimization—a new algorithm

Foundations and Frontiers in Computer, Communication and Electrical Engineering ◽

10.1201/b20012-25 ◽

2016 ◽

pp. 107-110

Author(s):

Debasish Roy

Keyword(s):

Neural Network ◽

Multi Objective Optimization ◽

Multi Objective

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Multi-Objective Hierarchical Genetic Algorithm for Modular Neural Network Optimization Using a Granular Approach

Recent Advances on Hybrid Intelligent Systems - Studies in Computational Intelligence ◽

10.1007/978-3-642-33021-6_9 ◽

2013 ◽

pp. 107-120 ◽

Cited By ~ 2

Author(s):

Daniela Sánchez ◽

Patricia Melin

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Network Optimization ◽

Neural Network Optimization ◽

Modular Neural Network ◽

Multi Objective ◽

Hierarchical Genetic Algorithm

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EVOLUTIONARY MULTI-OBJECTIVE OPTIMIZATION APPROACH TO CONSTRUCTING NEURAL NETWORK ENSEMBLES FOR REGRESSION

Applications of Multi-Objective Evolutionary Algorithms - Advances in Natural Computation ◽

10.1142/9789812567796_0027 ◽

2004 ◽

pp. 635-673 ◽

Cited By ~ 5

Author(s):

Yaochu Jin ◽

Tatsuya Okabe ◽

Bernhard Sendhoff

Keyword(s):

Neural Network ◽

Optimization Approach ◽

Multi Objective Optimization ◽

Multi Objective ◽

Neural Network Ensembles ◽

Network Ensembles

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A Pareto following variation operator for evolutionary dynamic multi-objective optimization

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence) ◽

10.1109/cec.2008.4631100 ◽

2008 ◽

Cited By ~ 3

Author(s):

A.K.M. Khaled ◽

Ahsan Talukder ◽

Michael Kirley

Keyword(s):

Multi Objective Optimization ◽

Evolutionary Dynamic ◽

Multi Objective ◽

Variation Operator

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