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Original Articles

MONSS: A multi-objective nonlinear simplex search approach

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Pages 16-38 | Received 18 Sep 2013, Accepted 24 Oct 2014, Published online: 27 Jan 2015

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Adanay Martín & Oliver Schütze. (2018) Pareto Tracer: a predictor–corrector method for multi-objective optimization problems. Engineering Optimization 50:3, pages 516-536.
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S. Ida Evangeline, S. Darwin, P. Peter Anandkumar & V.S. Sreenivasan. (2024) Investigating the performance of a surrogate-assisted nutcracker optimization algorithm on multi-objective optimization problems. Expert Systems with Applications 245, pages 123044.
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Mingming Xia, Qing Chong & Minggang Dong. (2023) A constrained multi-objective evolutionary algorithm with two-stage resources allocation. Swarm and Evolutionary Computation 79, pages 101313.
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Jing Liang, Xuanxuan Ban, Kunjie Yu, Boyang Qu, Kangjia Qiao, Caitong Yue, Ke Chen & Kay Chen Tan. (2023) A Survey on Evolutionary Constrained Multiobjective Optimization. IEEE Transactions on Evolutionary Computation 27:2, pages 201-221.
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Sander Dedoncker, Wim Desmet & Frank Naets. (2021) An adaptive direct multisearch method for black-box multi-objective optimization. Optimization and Engineering 23:3, pages 1411-1437.
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Lourdes Uribe, Adriana Lara, Kalyanmoy Deb & Oliver Schütze. (2021) A new gradient free local search mechanism for constrained multi-objective optimization problems. Swarm and Evolutionary Computation 67, pages 100938.
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Lourdes Uribe, Adriana Lara & Oliver Schütze. (2020) On the efficient computation and use of multi-objective descent directions within constrained MOEAs. Swarm and Evolutionary Computation 52, pages 100617.
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Ahsanul Habib, Hemant Kumar Singh, Tinkle Chugh, Tapabrata Ray & Kaisa Miettinen. (2019) A Multiple Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization. IEEE Transactions on Evolutionary Computation 23:6, pages 1000-1014.
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Lourdes Uribe, Oliver Schütze & Adriana Lara. 2019. Evolutionary Multi-Criterion Optimization. Evolutionary Multi-Criterion Optimization 78 90 .
Hanwei Zhang, Aimin Zhou, Guixu Zhang & Hemant Kumar Singh. (2017) Accelerating MOEA/D by Nelder-Mead method. Accelerating MOEA/D by Nelder-Mead method.
Ingrida Steponavičė, Rob J. Hyndman, Kate Smith-Miles & Laura Villanova. (2016) Dynamic algorithm selection for pareto optimal set approximation. Journal of Global Optimization 67:1-2, pages 263-282.
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Lucas Prestes, Carolina Almeida & Richard Goncalves. (2015) Implementation of Quasi-Simplex local search on MOEA/D. Implementation of Quasi-Simplex local search on MOEA/D.

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