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Erratum

Erratum: A hybrid genetic algorithmic approach to the maximally diverse grouping problem

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Pages 1423-1430 | Received 01 Aug 2007, Accepted 01 Aug 2009, Published online: 21 Dec 2017

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Chun-Hao Chen, Cheng-Yu Lu, Rui-Dong Chiang, Gautam Srivastava & Jerry Chun-Wei Lin. (2023) An evolutionary-based approach for optimising diverse group stock portfolio with active and inactive stocks. Enterprise Information Systems 17:8.
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Teresa Galvão Dias & José Borges. (2017) A new algorithm to create balanced teams promoting more diversity. European Journal of Engineering Education 42:6, pages 1365-1377.
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Gintaras Palubeckis, Armantas Ostreika & Dalius Rubliauskas. (2015) Maximally diverse grouping: an iterated tabu search approach. Journal of the Operational Research Society 66:4, pages 579-592.
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Articles from other publishers (7)

Jiajun Li, Pu Wang, Zheng Yan, Yishan Yang & Kai Zeng. (2024) BGKey: Group Key Generation for Backscatter Communications Among Multiple Devices. IEEE Transactions on Information Forensics and Security 19, pages 2470-2486.
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Xiao Yang, Zonghui Cai, Ting Jin, Zheng Tang & Shangce Gao. (2022) A three-phase search approach with dynamic population size for solving the maximally diverse grouping problem. European Journal of Operational Research 302:3, pages 925-953.
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Arne Schulz. (2022) A new mixed-integer programming formulation for the maximally diverse grouping problem with attribute values. Annals of Operations Research 318:1, pages 501-530.
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Eduardo Canale, Franco Robledo, Pablo Sartor & Luis Stábile. (2021) Solving the Max-Diversity Orthogonal Regrouping Problem by an Integer Linear Programming Model and a GRASP/VND with Path-Relinking Approach. Symmetry 14:1, pages 18.
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Matías Banchero, Franco Robledo, Pablo Romero, Pablo Sartor & Camilo Servetti. 2021. Variable Neighborhood Search. Variable Neighborhood Search 58 70 .
Gintaras Palubeckis, Armantas Ostreika & Arūnas Tomkevičius. (2014) An Iterated Tabu Search Approach for the Clique Partitioning Problem. The Scientific World Journal 2014, pages 1-10.
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Marco Caserta & Stefan Voß. 2013. Hybrid Metaheuristics. Hybrid Metaheuristics 118 129 .

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