Bee colony optimization for scheduling independent tasks to identical processors

Journal of Heuristics

Volumn 18, Issue 4, 2012, Pages 549-569

  Davidović, Tatjana ^a   Šelmić, Milica ^b   Teodorović, Dušan ^b   Ramljak, Dušan ^c  

^a MATHEMATICAL INSTITUTE   (Serbia)

^b UNIVERSITY OF BELGRADE   (Serbia)

^c TEMPLE UNIVERSITY   (United States)

Author keywords

Bee colony optimization (BCO); Combinatorial optimization; Homogeneous multiprocessor systems; Scheduling problems; Swarm intelligence

Indexed keywords

COLONY OPTIMIZATION; CPU TIME; INDEPENDENT TASKS; METAHEURISTIC; MULTI PROCESSOR SYSTEMS; NUMERICAL EXPERIMENTS; OBJECTIVE FUNCTIONS; OPTIMAL VALUES; OPTIMIZATION SOLVERS; RUNNING TIME; SCHEDULING PROBLEM; SOLUTION QUALITY; STATE-OF-THE-ART METHODS; STATIC SCHEDULING; SWARM INTELLIGENCE; SWARM OPTIMIZATION; TEST EXAMPLES;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMBINATORIAL OPTIMIZATION; NUMERICAL METHODS; OPTIMAL SYSTEMS; SCHEDULING;

OPTIMIZATION;

EID: 84865219719     PISSN: 13811231     EISSN: 15729397     Source Type: Journal    
DOI: 10.1007/s10732-012-9197-3     Document Type: Article

References (39)

1. Abbass, H.A.: MBO: marriage in honey bees optimization-a haplometrosis polygynous swarming approach. In: Proceedings of the Congress on Evolutionary Computation, Seoul, South Korea, pp. 207-214 (2001) (Pubitemid 32806339)
2. A. Afshar O. Bozorg Haddad A.M. Mariño B.J. Adams 2007 Honey-bee mating optimization (HBMO) algorithm for optimal reservoir operation J. Franklin Inst. 344 5 452 462 10.1016/j.jfranklin.2006.06.001 (Pubitemid 46764340)
3. S. Camazine J. Sneyd 1991 A model of collective nectar source by honey bees: self-organization through simple rules J. Theor. Biol. 149 547 571 10.1016/S0022-5193(05)80098-0 (Pubitemid 23401635)
4. Chong, C.S., Low, M.Y.H., Sivakumar, A.I., Gay, K.L.: A bee colony optimization algorithm to job shop scheduling. In: Proceedings of the Winter Simulation Conference, Washington, DC, pp. 1954-1961 (2006)
5. E.G. Coffman Jr M.R. Garey D.S. Johnson 1978 An application of bin-packing to multiprocessor scheduling SIAM J. Comput. 7 1 17 469242 0374.68032 10.1137/0207001
6. Coffman, E.G. Jr, Garey, M.R., Johnson, D.S.: Approximation algorithm for bin-packing: A survey. In: Hockbaum, D. (ed.) Approximation Algorithms for NP-Hard Problems, pp. 46-93. PSW, Boston (1996)
7. T. Davidović T.G. Crainic 2006 Benchmark problem instances for static task scheduling of task graphs with communication delays on homogeneous multiprocessor systems Comput. Oper. Res. 33 8 2155 2177 2201695 1086.90021 10.1016/j.cor.2005.01.005 (Pubitemid 41802283)
8. T. Davidović P. Hansen N. Mladenović 2005 Permutation based genetic, tabu and variable neighborhood search heuristics for multiprocessor scheduling with communication delays Asia-Pac. J. Oper. Res. 22 3 297 326 2172020 1085.90020 10.1142/S021759590500056X (Pubitemid 41452719)
9. Davidović, T., Šelmić, M., Teodorović, D.: Scheduling independent tasks: Bee colony optimization approach. In: Proc. 17th Mediterranean Conference on Control and Automation, Makedonia Palace, Thessaloniki, Greece, pp. 1020-1025 (2009)
10. T. Davidović D. Ramljak M. Šelmić D. Teodorović 2011 Bee colony optimization for the p-center problem Comput. Oper. Res. 38 10 1367 1376 2780692 1208.90103 10.1016/j.cor.2010.12.002
11. M. Dell'Amico S. Martello 1995 Optimal scheduling of tasks on identical parallel processors ORSA J. Comput. 7 191 200 0859.90081 10.1287/ijoc.7.2.191
12. Drias, H., Sadeg, S., Yahi, S.: Cooperative bees swarm for solving the maximum weighted satisfiability problem. In: Computational Intelligence and Bioinspired Systems. LNCS, vol. 3512, pp. 318-325 (2005) (Pubitemid 41342995)
13. E. Falkenauer 1996 A hybrid grouping genetic algorithm for bin packing J. Heuristics 2 5 30 10.1007/BF00226291 (Pubitemid 126714024)
14. Garey, M.R., Johnson, D.S.: Computers and Intractability: A Guide to the Theory of NP-Completness. Freeman, New York (1979)
15. R.L. Graham 1969 Bounds on multiprocessor timing anomalies SIAM J. Appl. Math. 17 416 429 249214 0188.23101 10.1137/0117039
16. M. Haouari A. Gharbi M. Jemmali 2006 Tight bounds for the identical parallel machine scheduling problem Int. Trans. Oper. Res. 13 529 548 2262134 1135.90015 10.1111/j.1475-3995.2006.00562.x
17. ILOG CPLEX 11.2 Reference Manual (2008)
18. Karaboga, D.: An idea based on honey bee swarm for numerical optimization. Tech. rep., Erciyes University, Engineering Faculty Computer Engineering Department Kayseri/Turkiye (2005)
19. Karaboga, D., Basturk Akay, B., Ozturk, C.: Artificial bee colony (ABC) optimization algorithm for training feed-forward neural networks. In: Modeling Decisions for Artificial Intelligence. LNCS, vol. 4617, pp. 318-319 (2007)
20. J. Levine F. Ducatelle 2004 Ant colony optimization and local search for bin packing and cutting stock problems J. Oper. Res. Soc. 55 705 716 1095.90122 10.1057/palgrave.jors.2601771
21. Lučić, P., Teodorović, D.: Bee system: modeling combinatorial optimization transportation engineering problems by swarm intelligence. In: Preprints of the TRISTAN IV Triennial Symposium on Transportation Analysis, Sao Miguel, Azores Islands, pp. 441-445 (2001)
22. Lučić, P., Teodorović, D.: Transportation modeling: an artificial life approach. In: Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence, Washington, DC, pp. 216-223 (2002)
23. P. Lučić D. Teodorović 2003 Computing with bees: attacking complex transportation engineering problems Int. J. Artif. Intell. Tools 12 375 394 10.1142/S0218213003001289 (Pubitemid 37077239)
24. Lučić, P., Teodorović, D.: Vehicle routing problem with uncertain demand at nodes: the bee system and fuzzy logic approach. In: Verdegay, J.L. (ed.) Fuzzy Sets based Heuristics for Optimization, pp. 67-82. Physica, Berlin (2003b)
25. G. Marković D. Teodorović V. Aćimović- Raspopović 2007 Routing and wavelength assignment in all-optical networks based on the bee colony optimization AI Commun. 20 273 285 2416403 1185.90174 (Pubitemid 350096313)
26. E. Mokotoff 2004 An exact algorithm for the identical parallel machine scheduling problem Eur. J. Oper. Res. 152 758 769 2009598 1043.90030 10.1016/S0377-2217(02)00726-9
27. Navrat, P.: Bee hive metaphor for web search. In: Rachev, B., Smrikarov, A. (eds.) Proceedings of the International Conference on Computer Systems and Technologies-CompSysTech 2006, Veliko Turnovo, Bulgaria, p. IIIA.12 (2006)
28. Pham, D.T., Ghanbarzadeh, A., Koc, E., Otri, S., Zaidi, M.: The bees algorithm-a novel tool for complex optimisation problems. In: Proceedings of the 2nd Virtual International Conference on Intelligent Production Machines and Systems (IPROMS 2006), pp. 454-459. Elsevier, Cardiff (2006)
29. Quijano, N., Passino, K.M.: Honey bee social foraging algorithms for resource allocation, Part I: Algorithm and theory. In: Proceedings of the American Control Conference, New York, pp. 3383-3388 (2007a)
30. Quijano, N., Passino, K.M.: Honey bee social foraging algorithms for resource allocation, Part II: Application. In: Proceedings of the American Control Conference, New York, pp. 3389-3394 (2007b)
31. S. Shakeri R. Logendran 2007 A mathematical programming-based scheduling framework for multitasking environments Eur. J. Oper. Res. 176 193 209 2265143 1137.90519 10.1016/j.ejor.2005.06.062 (Pubitemid 44442720)
32. Teodorović, D., Dell'Orco, M.: Bee colony optimization-a cooperative learning approach to complex transportation problems. In: Advanced OR and AI Methods in Transportation. Proceedings of the 10th Meeting of the EURO Working Group on Transportation, Poznan, Poland, pp. 51-60 (2005)
33. D. Teodorović M. Dell'Orco 2008 Mitigating traffic congestion: solving the ride-matching problem by bee colony optimization Transport Plan Tech. 31 135 152 10.1080/03081060801948027 (Pubitemid 351404793)
34. A. Thesen 1998 Design and evaluation of a tabu search algorithm for multiprocessor scheduling J. Heuristics 4 2 141 160 0913.90183 10.1023/A:1009625629722 (Pubitemid 128514874)
35. T. Tobita H. Kasahara 2002 A standard task graph set for fair evaluation of multiprocessor scheduling algorithms J. Sched. 5 5 379 394 2013560 1014.90044 10.1002/jos.116 (Pubitemid 41604842)
36. M. Šelmić D. Teodorović K. Vukadinović 2010 Locating inspection facilities in traffic networks: an artificial intelligence approach Transport Plan Tech. 33 481 493 10.1080/03081060.2010.505047
37. Wedde, H.F., Farooq, M., Zhang, Y.: BeeHive: an efficient fault-tolerant routing algorithm inspired by honey bee behavior. In: Ant Colony Optimization and Swarm Intelligence. LNCS, vol. 3172, pp. 83-94 (2004) (Pubitemid 39210704)
38. Wedde, H.F., Sebastian, L., van Bernhard, B., Zeynep, B.: A novel class of multi-agent algorithms for highly dynamic transport planning inspired by honey bee behavior. In: Proceedings of the 12th IEEE International Conference on Factory Automation, Patras, Greece, pp. 1157-1164 (2007)
39. Yang, X.: Engineering optimizations via nature-inspired virtual bee algorithms. In: Mira, J., Alvarez, J.R. (eds.) IWINAC 2005. LNCS, vol. 3562, pp. 317-323 (2005) (Pubitemid 41425267)