A hybrid grouping genetic algorithm for reviewer group construction problem

Expert Systems with Applications

Volumn 38, Issue 3, 2011, Pages 2401-2411

  Chen, Yuan ^a   Fan, Zhi Ping ^b   Ma, Jian ^c   Zeng, Shuo ^d  

^a SHANGHAI UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^b NORTHEASTERN UNIVERSITY   (China)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^d UNIVERSITY OF ARIZONA   (United States)

Author keywords

Grouping genetic algorithm; Heuristics; Hybrid genetic algorithm; OR in government; Reviewer group construction

Indexed keywords

GROUPING GENETIC ALGORITHMS; HEURISTICS; HYBRID GENETIC ALGORITHMS; OR IN GOVERNMENT; REVIEWER GROUP CONSTRUCTION;

HEURISTIC ALGORITHMS;

GENETIC ALGORITHMS;

EID: 78049528842     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.08.029     Document Type: Article

References (36)

1. A. Altuzarra, J.M. Moreno-Jiménez, and S. Manuel A Bayesian priorization procedure for AHP-group decision making European Journal of Operational Research 187 2007 367 382
2. T. Arani, and V. Lotfi A three phased approach to final exam scheduling IIE Transactions 21 1989 86 96
3. B.M. Baker, and C. Benn Assigning pupils to tutor groups in a comprehensive school Journal of Operational Research Society 52 2001 623 629
4. K.R. Baker, and S.G. Powell Methods for assigning students to groups: A study of alternative objective functions Journal of Operational Research Society 53 2002 397 404
5. E.C. Brown, and R.T. Sumichrast Evaluating performance advantages of grouping genetic algorithms Engineering Applications of Artificial Intelligence 18 1 2005 1 12
6. D. Ceylan, O. Saatcioglu, and C. Sepil An algorithm for the committee construction problem European Journal of Operational Research 77 1994 60 69
7. R. Cheng, and M. Gen Parallel machine scheduling problems using memetic algorithms Computers and Industrial Engineering 33 3-4 1997 761 764
8. L. Davis, and M. Steenstrup Genetic algorithms and simulated annealing: An overview L. Davis, Genetic algorithm and simulated annealing 1987 Morgan Kaufmann Publishers San Mateo, CA 1 11
9. A. Duarte, and R. Martí Tabu search and GRASP for the maximum diversity problem European Journal of Operational Research 178 2007 71 84
10. E. Falkenauer Genetic algorithms for grouping problems 1998 Wiley New York
11. Z.P. Fan, J. Ma, Y.P. Jiang, Y.H. Sun, and L. Ma A goal programming approach to group decision making based on multiplicative preference relations and fuzzy preference relations European Journal of Operational Research 174 2006 311 321
12. T. Feo, O. Goldschmidt, and M. Khellaf One-half approximation algorithms for the k-partition problem Operations Research 40 1992 S170 S173
13. T. Feo, and M. Khellaf A class of bounded approximation algorithms for graph partitioning Networks 20 1992 181 195
14. J.B. Ghosh Computational aspects of the maximum diversity problem Operations Research Letters 19 1996 175 181
15. F. Glover, C.C. Kuo, and K.S. Dhir Heuristic algorithms for the maximum diversity problem Journal of Information and Optimization Sciences 19 1 1998 109 132
16. D. Goldberg Genetic algorithms in search optimization and machine learning 1989 Reading, MA Addison-Wesley
17. Heminger, A. R. (1989). Assessment of a group decision support system in a field setting. Ph.D. dissertation. Tucson, AZ: The University of Arizona.
18. F. Herrera, L. Martínez, and P.J. Sánchez Managing non-homogeneous information in group decision making European Journal of Operational Research 166 2005 115 132
19. Hettich, S.; & Pazzani, M. J. (2006). Mining for element reviewers: Lessons learned at the national science foundation. In Proceeding of the KDD'06, Philadelphia, Pennsylvania, USA (pp. 862-871).
20. W. Ho, and P. Ji Component scheduling for chip shooter machines: A hybrid genetic algorithm approach Computers and Operations Research 30 2003 2175 2189
21. J.H. Holland Adaptation in natural and artificial systems: An introductory analysis with applications in biology control and artificial intelligence 1975 University of Michigan Press Ann Arbor, MI
22. C.C. Kuo, F. Glover, and K.S. Dhir Analyzing and modeling the maximum diversity problem by zero-one programming Decision Sciences 24 6 1993 1171 1185
23. V. Lotfi, and R. Cerveny A final exam scheduling package Journal of Operational Research Society 42 1991 205 216
24. Z. Michalewicz Genetic algorithms + data structures = evolution programs 1994 Springer New York
25. J. Miller, W. Potter, R. Gandham, and C. Lapena An evaluation of local improvement operators for genetic algorithms IEEE Transactions on System, Man and Cybernetics 23 1993 1340 1351
26. J.F. Nunamaker, L.M. Applegate, and B.R. Konsynski Computer-aided deliberation: Model management and group decision support Operations Research 36 1988 826 848
27. G.C. Silva, L.S. Ochi, and S.L. Martins Experimental comparison of greedy randomized adaptive search procedures for the maximum diversity problem Lecture notes in computer science Vol. 3059 2004 Springer
28. S.A. Torabi, S.M.T. Fatemi Ghomi, and B. Karimi A hybrid genetic algorithm for the finite horizon economic lot and delivery scheduling in supply chains European Journal of Operational Research 173 2006 173 189
29. V. Valls, F. Ballestín, and S. Quintanilla A hybrid genetic algorithm for the resource-constrained project scheduling problem European Journal of Operational Research 185 2 2008 495 508
30. M. Vroblefski, and E.C. Brown A grouping genetic algorithm for registration area planning Omega 34 2006 220 230
31. H.F. Wang, and K.Y. Wu Modeling and analysis for multiperiod, multi-product and multi-resource production scheduling Journal of Intelligent Manufacturing 14 2003 297 309
32. H.F. Wang, and K.Y. Wu Hybrid genetic algorithm for optimization problems with permutation property Computers and Operations Research 31 14 2004 2453 2471
33. R.R. Weitz, and M.T. Jelassi Assigning students to groups: A multi-criteria decision support system approach Decision Sciences 23 1992 746 757
34. R.R. Weitz, and S. Lakshminarayanan On a heuristic for the final exam scheduling problem Journal of Operational Research Society 47 1996 599 600
35. R.R. Weitz, and S. Lakshminarayanan An empirical comparison of heuristic and graph theoretic methods for creating maximally diverse groups VLSI, design and exam scheduling Omega 25 4 1997 473 482
36. Z. Xanthopulos, E. Melachrinoudis, and M.M. Solomon Interactive multiobjective group decision making with interval parameters Management Science 46 12 2000 1585 1601