Relevant bibliographies by topics / Max-Mean Dispersion Problem

Academic literature on the topic 'Max-Mean Dispersion Problem'

Author: Grafiati
Published: 14 March 2023

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Journal articles on the topic "Max-Mean Dispersion Problem"

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Carrasco, Rubén, Anthanh Pham, Micael Gallego, Francisco Gortázar, Rafael Martí, and Abraham Duarte. "Tabu search for the Max–Mean Dispersion Problem." Knowledge-Based Systems 85 (September 2015): 256–64. http://dx.doi.org/10.1016/j.knosys.2015.05.011.

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Gortázar, Francisco, Rubén Carrasco, AnThanh Pham Trinh, Micael Gallego, and Abraham Duarte. "VNS variants for the Max-Mean Dispersion Problem." Electronic Notes in Discrete Mathematics 47 (February 2015): 253–60. http://dx.doi.org/10.1016/j.endm.2014.11.033.

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Garraffa, Michele, Federico Della Croce, and Fabio Salassa. "An exact semidefinite programming approach for the max-mean dispersion problem." Journal of Combinatorial Optimization 34, no. 1 (August 26, 2016): 71–93. http://dx.doi.org/10.1007/s10878-016-0065-1.

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Della Croce, Federico, Michele Garraffa, and Fabio Salassa. "A hybrid three-phase approach for the Max-Mean Dispersion Problem." Computers & Operations Research 71 (July 2016): 16–22. http://dx.doi.org/10.1016/j.cor.2016.01.003.

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Nijimbere, Dieudonné, Songzheng Zhao, Xunhao Gu, Moses Olabhele Esangbedo, and Nyiribakwe Dominique. "Tabu search guided by reinforcement learning for the max-mean dispersion problem." Journal of Industrial & Management Optimization 13, no. 5 (2017): 0. http://dx.doi.org/10.3934/jimo.2020115.

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Song, Jiawei, Yang Wang, Haibo Wang, Qinghua Wu, and Abraham P. Punnen. "An effective multi-wave algorithm for solving the max-mean dispersion problem." Journal of Heuristics 25, no. 4-5 (October 25, 2018): 731–52. http://dx.doi.org/10.1007/s10732-018-9398-5.

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Lai, Xiangjing, and Jin-Kao Hao. "A tabu search based memetic algorithm for the max-mean dispersion problem." Computers & Operations Research 72 (August 2016): 118–27. http://dx.doi.org/10.1016/j.cor.2016.02.016.

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Cura, Tunchan, and Muhlis Özdemir. "A new use of the ant system algorithm for the max-mean dispersion problem." Computers & Industrial Engineering 135 (September 2019): 628–42. http://dx.doi.org/10.1016/j.cie.2019.06.045.

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Lai, Xiangjing, Jin-Kao Hao, and Fred Glover. "A study of two evolutionary/tabu search approaches for the generalized max-mean dispersion problem." Expert Systems with Applications 139 (January 2020): 112856. http://dx.doi.org/10.1016/j.eswa.2019.112856.

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Nijimbere, Dieudonné, Songzheng Zhao, Haichao Liu, Bo Peng, and Aijun Zhang. "A Hybrid Metaheuristic of Integrating Estimation of Distribution Algorithm with Tabu Search for the Max-Mean Dispersion Problem." Mathematical Problems in Engineering 2019 (July 1, 2019): 1–16. http://dx.doi.org/10.1155/2019/7104702.

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Abstract:
This paper presents a hybrid metaheuristic that combines estimation of distribution algorithm with tabu search (EDA-TS) for solving the max-mean dispersion problem. The proposed EDA-TS algorithm essentially alternates between an EDA procedure for search diversification and a tabu search procedure for search intensification. The designed EDA procedure maintains an elite set of high quality solutions, based on which a conditional preference probability model is built for generating new diversified solutions. The tabu search procedure uses a fast 1-flip move operator for solution improvement. Experimental results on benchmark instances with variables ranging from 500 to 5000 disclose that our EDA-TS algorithm competes favorably with state-of-the-art algorithms in the literature. Additional analysis on the parameter sensitivity and the merit of the EDA procedure as well as the search balance between intensification and diversification sheds light on the effectiveness of the algorithm.
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Book chapters on the topic "Max-Mean Dispersion Problem"

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Della Croce, Federico, Michele Garraffa, and Fabio Salassa. "A Hybrid Heuristic Approach Based on a Quadratic Knapsack Formulation for the Max-Mean Dispersion Problem." In Lecture Notes in Computer Science, 186–97. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14115-2_16.

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Della Croce, Federico, Michele Garraffa, and Fabio Salassa. "A Hybrid Heuristic Approach Based on a Quadratic Knapsack Formulation for the Max-Mean Dispersion Problem." In Lecture Notes in Computer Science, 186–97. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09174-7_16.

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