Population based Local Search for university course timetabling problems
暂无分享,去创建一个
[1] Reza Abbasian,et al. A hierarchical parallel genetic approach for the graph coloring problem , 2013, Applied Intelligence.
[2] R. Qu,et al. Adaptive selection of heuristics for assigning time slots and rooms in exam timetables , 2013, Applied intelligence (Boston).
[3] Rong Qu,et al. A hybrid algorithm for constrained portfolio selection problems , 2013, Applied Intelligence.
[4] Hossein Rajabalipour Cheshmehgaz,et al. Effective local evolutionary searches distributed on an island model solving bi-objective optimization problems , 2013, Applied Intelligence.
[5] Graham Kendall,et al. A graph coloring constructive hyper-heuristic for examination timetabling problems , 2012, Applied Intelligence.
[6] H. Topcuoglu,et al. Performance evaluation of evolutionary heuristics in dynamic environments , 2012, Applied Intelligence.
[7] Graham Kendall,et al. Grammatical Evolution of Local Search Heuristics , 2012, IEEE Transactions on Evolutionary Computation.
[8] He Jiang,et al. Hyper-Heuristics with Low Level Parameter Adaptation , 2012, Evolutionary Computation.
[9] Mohammed Azmi Al-Betar,et al. A harmony search algorithm for university course timetabling , 2010, Annals of Operations Research.
[10] Graham Kendall,et al. A honey-bee mating optimization algorithm for educational timetabling problems , 2012, Eur. J. Oper. Res..
[11] Anmar Abuhamdah,et al. MPCA-ARDA for solving course timetabling problems , 2011, 2011 3rd Conference on Data Mining and Optimization (DMO).
[12] Masri Ayob,et al. An Elitist-Ant System for Solving the Post-Enrolment Course Timetabling Problem , 2010, FGIT-DTA/BSBT.
[13] Salwani Abdullah,et al. Controlling Multi Algorithms Using Round Robin for University Course Timetabling Problem , 2010, FGIT-DTA/BSBT.
[14] Masri Ayob,et al. Adaptive randomized descent algorithm for solving course timetabling problems , 2010 .
[15] Salwani Abdullah,et al. Fish Swarm Intelligent Algorithm for the Course Timetabling Problem , 2010, RSKT.
[16] Francisco Herrera,et al. Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power , 2010, Inf. Sci..
[17] Masri Ayob,et al. Multi-Neighbourhood Particle Collision Algorithm for solving course timetabling problems , 2009, 2009 2nd Conference on Data Mining and Optimization.
[18] Salwani Abdullah,et al. Incorporating tabu search into memetic approach for enrolment-based course timetabling problems , 2009, 2009 2nd Conference on Data Mining and Optimization.
[19] Salwani Abdullah,et al. A Hybridization of Electromagnetic-Like Mechanism and Great Deluge for Examination Timetabling Problems , 2009, Hybrid Metaheuristics.
[20] Edmund K. Burke,et al. Analyzing the landscape of a graph based hyper-heuristic for timetabling problems , 2009, GECCO.
[21] Joe Henry Obit,et al. Non-linear great deluge with learning mechanism for solving the course timetabling problem , 2009 .
[22] Joe Henry Obit,et al. Evolutionary Non-linear Great Deluge for University Course Timetabling , 2009, HAIS.
[23] S. Abdullah,et al. Generating University Course Timetable Using Genetic Algorithms and Local Search , 2008, 2008 Third International Conference on Convergence and Hybrid Information Technology.
[24] D. Landa-Silva,et al. Great deluge with non-linear decay rate for solving course timetabling problems , 2008, 2008 4th International IEEE Conference Intelligent Systems.
[25] M.Y. Javed,et al. A Hybrid Approach for Course Scheduling Inspired by Die-hard Co-operative Ant Behavior , 2007, 2007 IEEE International Conference on Automation and Logistics.
[26] Edmund K. Burke,et al. A hybrid evolutionary approach to the university course timetabling problem , 2007, 2007 IEEE Congress on Evolutionary Computation.
[27] Michel Gendreau,et al. Metaheuristics: Progress in Complex Systems Optimization , 2007 .
[28] Paul McMullan,et al. An Extended Implementation of the Great Deluge Algorithm for Course Timetabling , 2007, International Conference on Computational Science.
[29] Mauro Birattari,et al. An effective hybrid algorithm for university course timetabling , 2006, J. Sched..
[30] H. Asmuni. Fuzzy multiple heuristic orderings for course timetabling , 2005 .
[31] Dennis J. Sweeney,et al. Statistics for Business and Economics (with Student CD-ROM, iPod Key Term, and InfoTrac ) , 2005 .
[32] Thomas Stützle,et al. Stochastic Local Search: Foundations & Applications , 2004 .
[33] Graham Kendall,et al. A Tabu-Search Hyperheuristic for Timetabling and Rostering , 2003, J. Heuristics.
[34] Christian Blum,et al. Metaheuristics in combinatorial optimization: Overview and conceptual comparison , 2003, CSUR.
[35] Michael Sampels,et al. Ant Algorithms for the University Course Timetabling Problem with Regard to the State-of-the-Art , 2003, EvoWorkshops.
[36] Michael Sampels,et al. A MAX-MIN Ant System for the University Course Timetabling Problem , 2002, Ant Algorithms.
[37] Andrea Schaerf,et al. Local search techniques for large high school timetabling problems , 1999, IEEE Trans. Syst. Man Cybern. Part A.
[38] Andrea Schaerf,et al. A Survey of Automated Timetabling , 1999, Artificial Intelligence Review.
[39] Geoffrey C. Fox,et al. A Comparison of Annealing Techniques for Academic Course Scheduling , 1997, PATAT.
[40] Kathryn A. Dowsland,et al. Variants of simulated annealing for the examination timetabling problem , 1996, Ann. Oper. Res..
[41] D. Costa,et al. A tabu search algorithm for computing an operational timetable , 1994 .
[42] A. Afifi,et al. Statistical analysis - a computer oriented approach , 1973 .
[43] Edmund K. Burke,et al. The practice and theory of automated timetabling , 2014, Ann. Oper. Res..
[44] Mohammed Azmi Al-Betar,et al. A Harmony Search with Multi-pitch Adjusting Rate for the University Course Timetabling , 2010, Recent Advances In Harmony Search Algorithm.
[45] Graham Kendall,et al. A Classification of Hyper-heuristic Approaches , 2010 .
[46] Edmund K. Burke,et al. Using a Randomised Iterative Improvement Algorithm with Composite Neighbourhood Structures for the University Course Timetabling Problem , 2007, Metaheuristics.
[47] Sanja Petrovic,et al. A graph-based hyper-heuristic for educational timetabling problems , 2007, Eur. J. Oper. Res..
[48] E. Burke,et al. AN INVESTIGATION OF VARIABLE NEIGHBOURHOOD SEARCH FOR UNIVERSITY COURSE TIMETABLING , 2005 .
[49] P. J. Bernhard,et al. Solving combinatorial optimization problems using a new algorithm based on gravitational attraction , 2004 .
[50] Sanja Petrovic,et al. A time-predefined approach to course timetabling , 2003 .
[51] Michael Sampels,et al. A {$\cal MAX$}-{$\cal MIN$} Ant System for the University Course Timetabling Problem , 2002 .
[52] A. G. Greenhill,et al. Handbook of Mathematical Functions with Formulas, Graphs, , 1971 .