Unsupervised Artificial Neural Networks (ANNs) for intelligent pheromone up gradation. Further evolution of neural augmented ant colony optimization (NaACO)

Life Science Journal

Volumn 10, Issue 3, 2013, Pages 318-327

  Umer, Muhammad ^a   Ahmad, Riaz ^a   Chaudhry, Imran ^a  

^a NATIONAL UNIVERSITY OF SCIENCES AND TECHNOLOGY   (Pakistan)

Author keywords

Neural augmented ant colony optimization (NaACO); Pheromone update; Unsupervised Artificial Neural Networks (ANN)

Indexed keywords

EID: 84880280744     PISSN: 10978135     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (34)

1. Aftab T, Muhammad U, Ahmed R Year 2012 Ant colony optimization for jobs scheduling and workers assignment problem to minimize total makespan. In International Conference on World Academy of Science, Engineering and Technology, Bangkok, Thailand.
2. Ahn, Joyup. "Nonstandard Work in Japan and Korea-the Origin of Wage Differentials". In Nonstandard Work-Draft, March 1, 2006.
3. Blum C, Sampels M 2002 Ant colony optimization for FOP shop scheduling: A case study on different pheromone representations. Proceedings of the 2002 Congress on Evolutionary Computation (CEC-02), D B Fogel, M A ElSharkawi, X Yao, G Greenwood, H Iba, P Marrow, M Shackleton (eds), Piscataway, NJ, IEEE Press, pp.1558-1563.
4. Den Besten M L, Stutzle T, Dorigo M 2000 Ant colony optimization for the total weighted tardiness problem. Proceedings of PPSN-VI, Sixth International Conference on Parallel Problem Solving from Nature, M Schoenauer, K Deb, G Rudolph, X Yao, E Lutton, J J Merelo, H P Schwefel (eds), Berlin, Springer-Verlag, pp. 611-620.
5. Di Caro G 2004 Ant colony Optimization and its Application to Adaptive Routing in Telecommunication Networks. Thesis, Universite Libre De Bruxelles, Faculte Des Sciences Appliques, Bruxelles
6. Dorigo M 1992 Optimization, Learning and Natural Algorithms. PhD thesis, Politecnico di Milano, Dipartimento di Eletronica, Milan
7. Dorigo M, Thomas S 2004 Ant Colony Optimization. London, The MIT press.
8. Fisher M L 1973 Optimal Solution of Scheduling Problems Using Lagrange Multipliers: Part I. Operations Research, 21(5): 1114-1127.
9. Garey M. R, Johson D S 1979 Computer and Intractability. A Guide to the theory of NP-Completness.
10. Girish B S, Jawahar N 2008. Scheduling job shops associated with multiple routings with genetic and ant colony heuristics. International journal of production research in DOI: 10.1080/00207540701824845.
11. Grasse P P 1959 La reconstruction du nid et les coordinations interindividuelles lles chez. bellicositermes natalensis et cubitermes sp, 6: 41-81
12. Hopfield J, Tank D W 1985 Neural computation of decisions in optimization problems. Biological Cybernetics, 52.
13. Hu P-C 2004. Minimizing total tardiness for the worker assignment scheduling problem in identical parallel-machine models. International Journal of Advanced Manufacturing Technology, 23(5-6): 383-388.
14. Hu P-C 2005 Minimizing total flow time for the worker assignment scheduling problem in the identical parallel-machine model. International Journal of Advanced Manufacturing Technology, 25(9-10): 1046-1052.
15. Hu P-C 2006 Further study of minimizing total flow time for the worker assignment scheduling problem in the identical parallel machine models. International Journal of Advanced Manufacturing Technology, 29(7-8): 753-757
16. Hu P-C 2006 Further study of minimizing total tardiness for the worker assignment scheduling problem in the identical parallel machine model. International Journal of Advanced Manufacturing Technology, 29: 165-169.
17. Huang K, Liao C 2008 Ant colony optimization combined with taboo search for the job shop scheduling problem. Computers and Operations Research, 35: 1030-1046.
18. Huawang S, Wanqing L 2009 Artificial Neural Network with Ant Colony Optimization for Assessing Performance of Residential Buildings. International Conference on Future BioMedical Information Engineering, pp. 379-382.
19. Irani R, Nasimi R 2012 An Evolving Neural Network Using an Ant Colony Algorithm for a Permeability Estimation of the Reservoir. Petroleum science and Technology, 30(4): 375-384
20. K. Alam, A.V. Mitrofanov, V.V. Silberschmidt, 2010 Experimental investigations of forces and torque in conventional and ultrasonically-assisted drilling of cortical bone. In Medical Engineering & Physics - March 2011 (Vol. 33, Issue 2, Pages 234-239, DOI: 10.1016/j.medengphy.2010.10.003)
21. Martin P D 1996 A Time-Oriented Approach to Computing Optimal Schedules for the Job-Shop Scheduling Problem. PhD Thesis, Cornell University, School of Operations Research & Industrial Engineering, Ithaca, New York
22. Mathirajan M, Chandru V, Sivakumar A I 2007 Heuristic algorithms for scheduling heat-treatment furnaces of steel casting industries. Sādhanā, 32(5): 479-500
23. Merkle D, Midderdorf M, Schmeck H 2002 Ant colony optimization for resource-constrained project scheduling. IEEE Transactions on Evolutionary Computation, 6(4): 333-346
24. Niknam T, Khorshidi R, Firouzi B B 2010 A hybrid evolutionary algorithm for distribution feeder reconfiguration. Sādhanā 35(2): 139-162
25. Pinedo M 1995 Scheduling - Theory, Algorithms, and Systems, Second edition, Prentice Hall.
26. Poliac M O, Lee E B, Slagle J R, Wick M R 1987 A Crew Scheduling Problem. Proceedings IEEE International Conference on Neural Networks, pp. 779-786.
27. Rabanimotlagh, Ahmad. An Efficient Ant Colony Optimization Algorithm for Multiobjective Flow Shop Scheduling Problem. In World Academy of Science, Engi.
28. Rajendra C, Ziegler H 2003 Ant-colony algorithms for permutation flowshop scheduling to mini-mize makespan/total flowtime of jobs. European journal of Operational Reseacrh
29. Rossi A, Dini G 2007 Flexible job-shop scheduling with routing flexibility and separable setup times using ant colony optimization method. Robotics and Computer-Integrated Manufacturing, 23(5): 503-516.
30. Rumelhart D E, McClelland J L 1986 Parallel Distributed Processing. D E Rumelhart, J L McClelland, P R Group (eds), Cambridge, MA, MIT Press.
31. Sastri T, Malave C O 1991 Identification of the optimal control policy for the Markov decision process by bavk propagation. Intelligent Engineering Systems Through Artificial Neural Network, C H Dagli, S R Kumara, Y C Shin (eds), New York, ASME, pp. 873-881.
32. Sinha M, Kalra P K, Kumar K 2000 Parameter estimation using compensatory neural networks. Sādhanā 25(2): 193-203.
33. T. Hastie, Tibshirani and J. Friedman. The Elements of Statistical Learning. Springer Series in Statistics, 2000.
34. Zhang J, Hu X, Tan X, Zhong H J, Huang Q 2006 Implementation of an Ant Colony Optimization technique for job shop scheduling problem. Transactions of the Institute of Measurement and Control, 28(1): 93-108.