A simulation based fly optimization algorithm for swarms of mini autonomous surface vehicles application

Indian Journal of Marine Sciences

Volumn 40, Issue 2, 2011, Pages 250-266

  Abidin, Zulkifli Zainal ^a   Arshad, Mohd Rizal ^a   Ngah, Umi Kalthum ^a  

^a SCHOOL OF PHYSICS   (Malaysia)

Author keywords

Drosobots; Drosophila; Fly optimization algorithm; Metaheuristic

Indexed keywords

ALGORITHM; FLY; HEURISTICS; OPTIMIZATION; REMOTELY OPERATED VEHICLE;

EID: 79957831224     PISSN: 03795136     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (27)

1. Glover, F., Future Paths for Integer Programming and Links to Artificial Intelligence. Computers & Operations Research, 1986. 13(5): 533-549.
2. Zang, H., Zhang, Shujun, Hapeshi, Kevin, A Review of Nature-Inspired Algorithms. Journal of Bionic Engineering, 2010. 7(Supplement 1), S232-S237.
3. Dorigo, M., Optimization, Learning and Natural Algorithms. 1992, Ph.D. thesis, Politecnico di Milano: Italy.
4. Eberhart, R.C.K.J. A new optimizer using particle swarm theory. in Proceedings of the Sixth International Symposium on Micromachine and Human Science. 1995. Nagoya, Japan.
5. Kammerdiner, A., Mucherino, Antonio, Pardalos, Panos, Application of Monkey Search Meta-heuristic to Solving Instances of the Multidimensional Assignment Problem, in Optimization and Cooperative Control Strategies. 2009. 385-397.
6. Nakrani, S. and C. Tovey, On Honey Bees and Dynamic Server Allocation in Internet Hosting Centers. Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems, 2004. 12(3-4): 223-240.
7. Yang, X.-S., Nature-Inspired Metaheuristic Algorithms. 2008: Luniver Press. 128.
8. Karaboga, D. and B. Basturk, On the performance of artificial bee colony (ABC) algorithm. Applied Soft Computing, 2008. 8(1): 687-697.
9. Duan, H., Zhang, Xiang-yin, Wu, Jiang, Ma, Guan-jun, Max-Min Adaptive Ant Colony Optimization Approach to Multi-UAVs Coordinated Trajectory Replanning in Dynamic and Uncertain Environments. Journal of Bionic Engineering, 2009. 6(2): 161-173.
10. Abidin, Z.Z., Arshad, M. R., Ngah, U. K., Ong Boon, Ping,. Control of mini autonomous surface vessel. in OCEANS 2010 IEEE - Sydney. 2010.
11. Zulkifli Zainal Abidin, K.I.A.R., Mohd Rizal Arshad, Umi Kalthum Ngah,. Bukit Merah Lake Contour Mapping using Swarm of mini ASVs. in International Conference on Intelligent Unmanned Systems (ICIUS). 2010. Bali, Indonesia.
12. D.T. Pham A.G., E. Koç, S. Otri, S. Rahim, M. Zaidi. The Bees Algorithm - A Novel Tool for Complex Optimisation Problems. in Proceedings of IPROMS 2006 Conference. 2006. Virtual Internet.
13. Zulkifli Zainal Abidin, M.R.A., Umi Kalthum Ngah,. A Survey: Animal-Inspired Metaheuristic Algorithms. in Proceedings of the Electrical and Electronic Postgraduate Colloquium EEPC2009. 2009. Jawi, Penang, Malaysia.
14. Kent, C., Azanchi, R., Smith, B., Formosa, A., Levine, J., Social Context Influences Chemical Communication in D. melanogaster Males. Current Biology, 2008. 18(18): 1384-1389.
15. Nemenman, I., Lewen, Geoffrey D Bialek, William, de Ruyter van Steveninck, Rob R., Neural Coding of Natural Stimuli: Information at Sub-Millisecond Resolution. PLoS Comput Biol, 2008. 4(3): e1000025.
16. Reynolds, A.M. and M.A. Frye, Free-Flight Odor Tracking in Drosophila Is Consistent with an Optimal Intermittent Scale-Free Search. PLoS ONE, 2007. 2(4): 354.
17. Christenson, L.D. and R.H. Foote, Biology of Fruit Flies. Annual Review of Entomology, 1960. 5(1): 171-192.
18. Etter, P.D. and M. Ramaswami, The ups and downs of daily life: Profiling circadian gene expression in Drosophila. BioEssays, 2002. 24(6): 494-498.
19. Elland, C. and B.J. Navarro. Flies in Space. 2006 September 2009]; Available from: http://quest.nasa.gov/projects/flies/index.html.
20. Bartumeus, F., da Luz, M. G.E.,Viswanathan, G.M., Catalan, J., Animal search strategies: a quantitative random-walk analysis Ecology, 2005. 86(11): 3078-3087.
21. Maye, A., Hsieh Chih-hao, Sugihara George, Brembs B, Order in Spontaneous Behavior. PLoS ONE, 2007. 2(5): 443.
22. Viswanathan, G.M., Buldyrev, Sergey V., Havlin, Shlomo, da Luz, M. G. E., Raposo, E. P., Stanley, H. Eugene, Optimizing the success of random searches. Nature, 1999. 401(6756): 911-914.
23. Frye, M.A., M. Tarsitano, and M.H. Dickinson, Odor localization requires visual feedback during free flight in Drosophila melanogaster. J Exp Biol, 2003. 206(5): 843-855.
24. Joshua J. Krupp, C.K., Jean-Christophe Billeter, Reza Azanchi, Anthony K.-C. So, Julia A. Schonfeld, Benjamin P. Smith1, Christophe Lucas, and Joel D. Levine, Social Experience Modifies Pheromone Expression and Mating Behavior in Male Drosophila melanogaster. 2008. 18(18): 1373-1383
25. S Tinette L.Z., A. Robichon, Cooperation between Drosophila flies in searching behavior. Genes, Brain & Behavior, 2004: 3 139-50.
26. Yang, X.-S., Firefly algorithms for multimodal optimization, in Proceedings of the 5th international conference on Stochastic algorithms: foundations and applications. 2009, Springer-Verlag: Sapporo, Japan: 169-178.
27. Abidin, Z.A., Arshad, M. R., Ngah, U. K., Kok Chee Hou,. GPS boundary navigation of DrosoBots using MATLAB simulation. in Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on. 2010.