Browsing by Author Mladenović, Nenad


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Author(s)TitleIssue DateAppears inRank
Plotnikov, Roman; Erzin, Adil; Mladenović, Nenad Approximation algorithms for the min-power symmetric connectivity problem20-Oct-2016AIP Conference Proceedings; 1776
Džamić, Dušan; Aloise, Daniel; Mladenović, Nenad Ascent–descent variable neighborhood decomposition search for community detection by modularity maximization1-Jan-2019Annals of Operations Research; 272(1-2); 273-287M22
Brimberg, Jack; Hansen, Pierre; Mladenović, Nenad Attraction probabilities in variable neighborhood search1-Jan-20104OR : A Quarterly Journal of Operations Research; 8(2); 181-194M23
Ristić, Dalibor; Mladenović, Nenad ; Ratli, Mustapha; Todosijević, Raca ; Urošević, Dragan Auxiliary data structures and techniques to speed up solving of the p-next center problem: A VNS heuristic2023Applied Soft Computing; 140; 110276~M21a
Brimberg, Jack; Mladenović, Nenad ; Todosijević, Raca ; Urošević, Dragan A basic variable neighborhood search heuristic for the uncapacitated multiple allocation p-hub center problem1-Feb-2017Optimization Letters; 11(2); 313-327M21
Urošević, Dragan ; Mladenović, Nenad Basic VNS for the k-cardinality tree problem on the graph200110th congress of Yugoslav mathematicians; 21-24M60
Mladenović, Nenad ; Moreno, Jose; Moreno-Vega, J. MarcosChain-interchange heuristic method1-Jan-1996Yugoslav Journal of Operations Research; 6(1); 41-54
Đorić, Danijela; El Cadi, Abdessamad Ait; Hanafi, Saïd; Mladenović, Nenad ; Artiba, AbdelhakimClustering approach in maintenance of capillary railway network1-Apr-2017Electronic Notes in Discrete Mathematics; 58; 239-246
Zhikharevich, Boris; Rusetskay, O. V.; Mladenović, Nenad Clustering cities based on their development dynamics and variable neigborhood search1-Jan-2015Electronic Notes in Discrete Mathematics; 47; 213-220
Consoli, Sergio; Moreno Pérez, José Andrés; Mladenović, Nenad Comparison of metaheuristics for the k-labeled spanning forest problem1-May-2017International Transactions in Operational Research; 24(3); 559-582M21
Janićijević, Stefana; Urošević, Dragan ; Mladenović, Nenad Comparison of SAS/STAT procedures and variable neighborhood search based clustering applied on Telekom Serbia data4-May-2015Social Sciences Via Network Analysis and Computation; 79-88
Hansen, Pierre; Mladenović, Nenad Complement to a comparative analysis of heuristics for the p-median problem1-Mar-2008Statistics and Computing; 18(1); 41-46M21
Pei, Jun; Dražić, Zorica; Dražić, Milan; Mladenović, Nenad ; Pardalos, PanosContinuous variable neighborhood search (C-VNS) for solving systems of nonlinear equations1-Jan-2019INFORMS Journal on Computing; 31(2); 235-250M22
Dražić, Milan; Lavor, Carlile; Maculan, Nelson; Mladenović, Nenad A continuous variable neighborhood search heuristic for finding the three-dimensional structure of a molecule16-Mar-2008European Journal of Operational Research; 185(3); 1265-1273M21
Dražić, Milan; Dražić, Zorica; Mladenović, Nenad ; Urošević, Dragan ; Zhao, Qiu HongContinuous variable neighbourhood search with modified Nelder-Mead for non-differentiable optimization1-Jan-2016IMA Journal of Management Mathematics; 27(1); 75-88M23
Crainic, Teodor Gabriel; Gendreau, Michel; Hansen, Pierre; Mladenović, Nenad Cooperative parallel variable neighborhood search for the p-median1-Jan-2004Journal of Heuristics; 10(3); 293-314M22
Kovačević, Darko; Mladenović, Nenad ; Petrović, Bratislav; Milošević, PavleDE-VNS: Self-adaptive Differential Evolution with crossover neighborhood search for continuous global optimization1-Dec-2014Computers and Operations Research; 52; 157-169M21
Brimberg, Jack; Hansen, Pierre; Mladenović, Nenad Decomposition strategies for large-scale continuous location-allocation problems1-Jan-2006IMA Journal of Management Mathematics; 17(4); 307-316
Brimberg, Jack; Mladenović, Nenad Degeneracy in the multi-source Weber problem1-Jan-1999Mathematical Programming, Series B; 85(1); 213-220M21a
Mladenović, Nenad ; Brimberg, JackDescent-ascent technique for solving the multi-source Weber problem1-Dec-1995Yugoslav Journal of Operations Research; 5(2); 211-219