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Engineering Optimization Volume 41, 2009 - Issue 10
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Original Articles

A multi-objective metamodel-assisted memetic algorithm with strength-based local refinement

Chariklia A. Georgopoulou Parallel CFD & Optimization Unit, Laboratory of Thermal Turbomachines, School of Mechanical Engineering, National Technical University of Athens, P.O. Box 64069, Athens, 157 10, Greece
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Kyriakos C. Giannakoglou Parallel CFD & Optimization Unit, Laboratory of Thermal Turbomachines, School of Mechanical Engineering, National Technical University of Athens, P.O. Box 64069, Athens, 157 10, GreeceCorrespondence[email protected]
Pages 909-923 | Received 30 Sep 2008, Published online: 18 Sep 2009

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Evgenia A. Kontoleontos, Varvara G. Asouti & Kyriakos C. Giannakoglou. (2012) An asynchronous metamodel-assisted memetic algorithm for CFD-based shape optimization. Engineering Optimization 44:2, pages 157-173.
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B. Y. Qu & P. N. Suganthan. (2011) Constrained multi-objective optimization algorithm with an ensemble of constraint handling methods. Engineering Optimization 43:4, pages 403-416.
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Articles from other publishers (17)

Fei Li, Zhengkun Shang, Yuanchao Liu, Hao Shen & Yaochu Jin. (2024) Inverse distance weighting and radial basis function based surrogate model for high-dimensional expensive multi-objective optimization. Applied Soft Computing 152, pages 111194.
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Mohammed Imed Eddine Khaldi & Amer Draa. (2023) Surrogate-assisted evolutionary optimisation: a novel blueprint and a state of the art survey. Evolutionary Intelligence.
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Wenyu Wang, Taimoor Akhtar & Christine A. Shoemaker. (2021) Integrating $$\varepsilon $$-dominance and RBF surrogate optimization for solving computationally expensive many-objective optimization problems. Journal of Global Optimization 82:4, pages 965-992.
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Mingyuan Yu, Jing Liang, Kai Zhao & Zhou Wu. (2022) An aRBF surrogate-assisted neighborhood field optimizer for expensive problems. Swarm and Evolutionary Computation 68, pages 100972.
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Chaoli Sun, Yaochu Jin, Ran Cheng, Jinliang Ding & Jianchao Zeng. (2017) Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems. IEEE Transactions on Evolutionary Computation 21:4, pages 644-660.
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Stylianos Kyriacou, Pallav Sarma & Ian Hunt. (2017) Constrained, Multi-Objective, Steamflood Injection Redistribution Optimization, using a Cloud-Distributed, Metamodel-Assisted, Memetic Optimization Algorithm. Constrained, Multi-Objective, Steamflood Injection Redistribution Optimization, using a Cloud-Distributed, Metamodel-Assisted, Memetic Optimization Algorithm.
Shreyas Joglekar, Kayla Von Hagel, Mark Pankow & Scott Ferguson. (2017) Exploring how optimal composite design is influenced by model fidelity and multiple objectives. Composite Structures 160, pages 964-975.
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Richard Allmendinger, Michael T. M. Emmerich, Jussi Hakanen, Yaochu Jin & Enrico Rigoni. (2017) Surrogate-assisted multicriteria optimization: Complexities, prospective solutions, and business case. Journal of Multi-Criteria Decision Analysis 24:1-2, pages 5-24.
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Rommel G. Regis. (2016) Multi-objective constrained black-box optimization using radial basis function surrogates. Journal of Computational Science 16, pages 140-155.
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Taimoor Akhtar & Christine A. Shoemaker. (2015) Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection. Journal of Global Optimization 64:1, pages 17-32.
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Antonio López Jaimes & Carlos A. Coello Coello. 2015. Springer Handbook of Computational Intelligence. Springer Handbook of Computational Intelligence 1033 1046 .
Tong Liu, Chaoli Sun, Jianchao Zeng, Songdong Xue & Yaochu Jin. (2014) Similarity- and reliability-assisted fitness estimation for particle swarm optimization of expensive problems. Similarity- and reliability-assisted fitness estimation for particle swarm optimization of expensive problems.
Kayla Von Hagel, Shreyas Joglekar, Mark Pankow & Scott M. Ferguson. (2014) Exploring Composite Panels Using Multi-Objective Optimization and Varying Load Conditions. Exploring Composite Panels Using Multi-Objective Optimization and Varying Load Conditions.
Saul Zapotecas Martinez & Carlos A. Coello Coello. (2013) Combining surrogate models and local search for dealing with expensive multi-objective optimization problems. Combining surrogate models and local search for dealing with expensive multi-objective optimization problems.
Saúl Zapotecas Martínez & Carlos A. Coello Coello. 2010. Parallel Problem Solving from Nature, PPSN XI. Parallel Problem Solving from Nature, PPSN XI 576 585 .
Kyriakos C. Giannakoglou & Ioannis C. Kampolis. 2010. Computational Intelligence in Expensive Optimization Problems. Computational Intelligence in Expensive Optimization Problems 61 84 .
V. G. Asouti, I. C. Kampolis & K. C. Giannakoglou. (2009) A grid-enabled asynchronous metamodel-assisted evolutionary algorithm for aerodynamic optimization. Genetic Programming and Evolvable Machines 10:4, pages 373-389.
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