An alternative artificial bee colony algorithm with destructive-constructive neighbourhood operator for the problem of composing medical crews
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Carlos García-Martínez | Manuel Lozano | José A. Delgado-Osuna | José A. Delgado-Osuna | M. Lozano | C. García-Martínez
[1] Millie Pant,et al. An image watermarking scheme in wavelet domain with optimized compensation of singular value decomposition via artificial bee colony , 2015, Inf. Sci..
[2] Luiz Satoru Ochi,et al. Experimental Comparison of Greedy Randomized Adaptive Search Procedures for the Maximum Diversity Problem , 2004, WEA.
[3] Alok Singh,et al. A swarm intelligence approach to the quadratic minimum spanning tree problem , 2010, Inf. Sci..
[4] S. Holm. A Simple Sequentially Rejective Multiple Test Procedure , 1979 .
[5] Dervis Karaboga,et al. A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems , 2011, Appl. Soft Comput..
[6] Dervis Karaboga,et al. A quick artificial bee colony (qABC) algorithm and its performance on optimization problems , 2014, Appl. Soft Comput..
[7] Francisco J. Rodríguez,et al. Arbitrary function optimisation with metaheuristics , 2012, Soft Comput..
[8] Francisco J. Rodríguez,et al. An artificial bee colony algorithm for the maximally diverse grouping problem , 2013, Inf. Sci..
[9] Ali Husseinzadeh Kashan,et al. DisABC: A new artificial bee colony algorithm for binary optimization , 2012, Appl. Soft Comput..
[10] Mehmet Fatih Tasgetiren,et al. A discrete artificial bee colony algorithm for the total flowtime minimization in permutation flow shops , 2011, Inf. Sci..
[11] F. Wilcoxon. Individual Comparisons by Ranking Methods , 1945 .
[12] Dervis Karaboga,et al. A modified Artificial Bee Colony algorithm for real-parameter optimization , 2012, Inf. Sci..
[13] Dervis Karaboga,et al. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm , 2007, J. Glob. Optim..
[14] Carlos García-Martínez,et al. A simulated annealing method based on a specialised evolutionary algorithm , 2012, Appl. Soft Comput..
[15] Janez Demsar,et al. Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..
[16] K. Deb. An Efficient Constraint Handling Method for Genetic Algorithms , 2000 .
[17] Dervis Karaboga,et al. Artificial bee colony programming for symbolic regression , 2012, Inf. Sci..
[18] Roberto Aringhieri,et al. Composing medical crews with equity and efficiency , 2009, Central Eur. J. Oper. Res..
[19] Larry J. Eshelman,et al. Preventing Premature Convergence in Genetic Algorithms by Preventing Incest , 1991, ICGA.
[20] Fred W. Glover,et al. Strategic oscillation for the quadratic multiple knapsack problem , 2014, Comput. Optim. Appl..
[21] Dervis Karaboga,et al. A comprehensive survey: artificial bee colony (ABC) algorithm and applications , 2012, Artificial Intelligence Review.
[22] Christian Blum,et al. An iterated greedy algorithm for the large-scale unrelated parallel machines scheduling problem , 2013, Comput. Oper. Res..
[23] Francisco Gortázar,et al. A hybrid metaheuristic for the cyclic antibandwidth problem , 2013, Knowl. Based Syst..
[24] R. Iman,et al. Approximations of the critical region of the fbietkan statistic , 1980 .
[25] Alok Singh,et al. A hybrid swarm intelligence approach to the registration area planning problem , 2015, Inf. Sci..
[26] Francisco Herrera,et al. A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization , 2009, J. Heuristics.
[27] Alok Singh,et al. Two metaheuristic approaches for the multiple traveling salesperson problem , 2015, Appl. Soft Comput..
[28] Dervis Karaboga,et al. A novel clustering approach: Artificial Bee Colony (ABC) algorithm , 2011, Appl. Soft Comput..