Synchronous R-NSGA-II: An Extended Preference-Based Evolutionary Algorithm for Multi-Objective Optimization

Filatovas, Ernestas

doi:10.15388/Informatica.2015.37

2020 IEEE Congress on Evolutionary Computation (CEC)

Daniel Cinalli, Luis Marti, Nayat Sanchez-Pi, Ana Cristina Bicharra Garcia

https://doi.org/10.1109/CEC48606.2020.9185523

Conference: (2020), p. 1

Recursive Merged Community Detection Algorithm Based on Node Cluster

Ailian Wang, Liang Meng, Lu Cui

https://doi.org/10.1007/978-3-030-93176-6_25

Book: Lecture Notes in Computer Science (Algorithmic Aspects in Information and Management) Volume 13153 (2021), p. 289

Improving the Energy Efficiency of Evolutionary Multi-objective Algorithms

J. J. Moreno, G. Ortega, E. Filatovas, J. A. Martínez, E. M. Garzón

https://doi.org/10.1007/978-3-319-49956-7_5

Book: Lecture Notes in Computer Science (Algorithms and Architectures for Parallel Processing) Volume 10049 (2016), p. 62

A Multi-objective optimization algorithm based on dynamic user-preference information

Hong Yu, Zhao Fu, Guoyin Wang, Yongfang Xie, Jie Li

https://doi.org/10.1007/s00607-021-00995-x

Journal: Computing Volume 104, Issue 3 (2022), p. 627

A combined interactive procedure using preference-based evolutionary multiobjective optimization. Application to the efficiency improvement of the auxiliary services of power plants

Ana B. Ruiz, Mariano Luque, Francisco Ruiz, Rubén Saborido

https://doi.org/10.1016/j.eswa.2015.05.036

Journal: Expert Systems with Applications Volume 42, Issue 21 (2015), p. 7466

A comprehensive survey on NSGA-II for multi-objective optimization and applications

Haiping Ma, Yajing Zhang, Shengyi Sun, Ting Liu, Yu Shan

https://doi.org/10.1007/s10462-023-10526-z

Journal: Artificial Intelligence Review Volume 56, Issue 12 (2023), p. 15217

A decomposition-based multi-objective optimization approach considering multiple preferences with robust performance

Xinqi Zhu, Zhenghong Gao, Yiming Du, Shixin Cheng, Fang Xu

https://doi.org/10.1016/j.asoc.2018.08.029

Journal: Applied Soft Computing Volume 73 (2018), p. 263

A multi-objective invasive weed optimization algorithm for robust aggregate production planning under uncertain seasonal demand

Alireza Goli, Erfan Babaee Tirkolaee, Behnam Malmir, Gui-Bin Bian, Arun Kumar Sangaiah

https://doi.org/10.1007/s00607-018-00692-2

Journal: Computing Volume 101, Issue 6 (2019), p. 499

A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search

Ernestas Filatovas, Algirdas Lančinskas, Olga Kurasova, Julius Žilinskas

https://doi.org/10.1007/s10100-016-0443-x

Journal: Central European Journal of Operations Research Volume 25, Issue 4 (2017), p. 859

A reference point-based evolutionary algorithm for approximating regions of interest in multiobjective problems

E. Filatovas, O. Kurasova, J. L. Redondo, J. Fernández

https://doi.org/10.1007/s11750-019-00535-z

Journal: TOP Volume 28, Issue 2 (2020), p. 402

D-Optimal design and multi-objective optimization for green extraction conditions developed with ultrasonic probe for oleuropein

Nilüfer Vural, Özge Algan Cavuldak, M. Abdülkadir Akay

https://doi.org/10.1016/j.jarmap.2020.100279

Journal: Journal of Applied Research on Medicinal and Aromatic Plants Volume 20 (2021), p. 100279

High-performance computing for the optimization of high-pressure thermal treatments in food industry

M. R. Ferrández, S. Puertas-Martín, J. L. Redondo, B. Ivorra, A. M. Ramos, P. M. Ortigosa

https://doi.org/10.1007/s11227-018-2351-4

Journal: The Journal of Supercomputing Volume 75, Issue 3 (2019), p. 1187

Hybrid evolutionary multi-objective optimisation using outranking-based ordinal classification methods

Laura Cruz-Reyes, Eduardo Fernandez, J. Patricia Sanchez-Solis, Carlos A. Coello Coello, Claudia Gomez

https://doi.org/10.1016/j.swevo.2020.100652

Journal: Swarm and Evolutionary Computation Volume 54 (2020), p. 100652

Improved chaotic binary grey wolf optimization algorithm for workflow scheduling in green cloud computing

Ali Mohammadzadeh, Mohammad Masdari, Farhad Soleimanian Gharehchopogh, Ahmad Jafarian

https://doi.org/10.1007/s12065-020-00479-5

Journal: Evolutionary Intelligence Volume 14, Issue 4 (2021), p. 1997

Improving the performance and energy of Non-Dominated Sorting for evolutionary multiobjective optimization on GPU/CPU platforms

J. J. Moreno, G. Ortega, E. Filatovas, J. A. Martínez, E. M. Garzón

https://doi.org/10.1007/s10898-018-0669-3

Journal: Journal of Global Optimization Volume 71, Issue 3 (2018), p. 631

Interior High Frequency Noise Analysis of Heavy Vehicle Cab and Multi-Objective Optimization with Statistical Energy Analysis Method

Shuming Chen, Lianhui Wang, Jiqang Song, Dengfeng Wang, Jing Chen

https://doi.org/10.1142/S0219477517500171

Journal: Fluctuation and Noise Letters Volume 16, Issue 02 (2017), p. 1750017

Learning of a Decision-Maker’s Preference Zone With an Evolutionary Approach

Manish Aggarwal

https://doi.org/10.1109/TNNLS.2018.2847412

Journal: IEEE Transactions on Neural Networks and Learning Systems Volume 30, Issue 3 (2019), p. 670

Multiobjective evolutionary algorithms based on target region preferences

Longmei Li, Yali Wang, Heike Trautmann, Ning Jing, Michael Emmerich

https://doi.org/10.1016/j.swevo.2018.02.006

Journal: Swarm and Evolutionary Computation Volume 40 (2018), p. 196

Multi‐objective optimization of drying conditions for the Olea europaea L. leaves with NSGA‐II

Nilüfer Vural, Zeynep Yilmazer Hitit, Suna Ertunç

https://doi.org/10.1111/jfpp.15625

Journal: Journal of Food Processing and Preservation Volume 45, Issue 7 (2021)

Non-dominated sorting procedure for Pareto dominance ranking on multicore CPU and/or GPU

G. Ortega, E. Filatovas, E. M. Garzón, L. G. Casado

https://doi.org/10.1007/s10898-016-0468-7

Journal: Journal of Global Optimization Volume 69, Issue 3 (2017), p. 607

Progressive preference articulation for decision making in multi-objective optimisation problems

Shahin Rostami, Ferrante Neri, Michael Epitropakis

https://doi.org/10.3233/ICA-170547

Journal: Integrated Computer-Aided Engineering Volume 24, Issue 4 (2017), p. 315

Reliability Based Multi-Objective Thermodynamic Cycle Optimisation of Turbofan Engines Using Luus-Jaakola Algorithm

Vin Cent Tai, Yong Chai Tan, Nor Faiza Abd Rahman, Yaw Yoong Sia, Chan Chin Wang, Lip Huat Saw

https://doi.org/10.32604/EE.2021.014866

Journal: Energy Engineering Volume 118, Issue 4 (2021), p. 1057

Using low-power platforms for Evolutionary Multi-Objective Optimization algorithms

J. J. Moreno, G. Ortega, E. Filatovas, J. A. Martínez, Ester M. Garzón

https://doi.org/10.1007/s11227-016-1862-0

Journal: The Journal of Supercomputing Volume 73, Issue 1 (2017), p. 302

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