Positioning and utilizing sensors on a 3-D terrain part II-Solving with a hybrid evolutionary algorithm

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

Volumn 41, Issue 4, 2011, Pages 470-480

  Topcuoglu, Haluk Rahmi ^a   Ermis, Murat ^b   Sifyan, Mesut ^a  

^a MARMARA UNIVERSITY   (Turkey)

^b TURKISH AIR FORCE ACADEMY   (Turkey)

Author keywords

Hybrid evolutionary algorithms (HEAs); local search; sensor planning

Indexed keywords

EXPERIMENTAL STUDIES; HYBRID EVOLUTIONARY ALGORITHM; INITIAL POPULATION; LOCAL SEARCH; OPTIMAL BALANCE; PROBLEM-SPECIFIC KNOWLEDGE; SENSOR PLANNING; VARIATION OPERATOR;

LANDFORMS; MATHEMATICAL OPERATORS; SENSORS; THREE DIMENSIONAL; WATER ANALYSIS;

EVOLUTIONARY ALGORITHMS;

EID: 79959612773     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCC.2010.2055851     Document Type: Article

References (19)

1. E. Riseman, H. Schultz, W. Lim, B. Draper, and A. Hanson, "Daedalus battlefield visualization system," in Proc. ARPA Image Understanding), 1996, pp. 491-500.
2. J.Wang, C. Niu, andR. Shen, "Priority-based target coverage in directional sensor networks using genetic algorithm," Comput. Math. Appl., vol. 57, pp. 1915-1922, 2009.
3. M. Marengoni, B. A. Draper, A. Hanson, and R. Sitaraman, "A system to place observers on a polyhedral terrain in polynomial time," Image Vis. Comput., vol. 18, no. 10, pp. 773-780, 2000.
4. N. Tezcan and W. Wang, "Self-orienting wireless multimedia sensor networks for occlusion viewpoints," Comput. Netw., vol. 52, pp. 2558-2567, 2008.
5. H. Topcuoglu, M. Ermis, andM. Sifyan, "Positioning and utilizing sensors on a 3D terrain: Part 1-Theory and modelling," IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., 2010.
6. T. Back, D. Fogel, and Z. Michalewicz, Handbook of Evolutionary Computation. New York: Inst. Phys. Publ./Oxford Univ. Press, 1997.
7. T. Back, Evolutionary Algorithms in Theory and Practice. NewYork: Oxford Univ. Press, 1996.
8. A. Eiben and J. Smith, Introduction to Evolutionary Computing. New York: Springer-Verlag, 2003.
9. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. Reading, MA: Addison-Wesley, 1989.
10. Z. Michalewicz and D. B. Fogel, How to Solve It: Modern Heuristics. New York: Springer-Verlag, 2000.
11. B. R. Fox and M. B. McMahon "Genetic operators for sequencing problems," in Proc. First Workshop Found. Genet. Algorithms Classifier Syst., G. Rawlins, Ed. San Mateo, CA: Morgan Kaufmann, 1990.
12. J. J. Grefenstette, "Incorporating problem specific knowledge into genetic algorithm," in Genetic Algorithms and Simulated Annealing, L. Davis, Ed. San Mateo, CA: Morgan Kaufmann, 1987.
13. P. Bonissone, R. Subbu, N. Eklund, and T. R. Kiehl, "Evolutionary algorithms + domain knowledge = real-world evolutionary computation," IEEE Trans. Evol. Comput., vol. 10, no. 3, pp. 256-280, Jun. 2006. (Pubitemid 43832504)
14. P. Moscato, "On evolution, search, optimization, genetic algorithms and martial arts: Towards memetic algorithms," Caltech Concurrent Comput. Program Rep., Caltech, Pasadena, CA, Tech. Rep. 826, 1989.
15. P. Moscato. Memetic algorithms' home page [Online]. Available: http://www.ing.unlp.edu.ar/cetad/mos/memetic-home.html
16. N. J. Radcliffe and P. D. Surry, "Formal memetic algorithms," in Evolutionary Computing, AISB Workshop (Lecture Notes in Computer Science 865), T. C. Fogarty, Ed. New York: Springer-Verlag, 1994, pp. 1-16.
17. B. Nystrom. (2000). Terrain generation tutorial: Hill algorithm [Online]. Available: http://www.robot-frog.com/3d/hills/index.html
18. A. Fournier, D. Fussel, and L. Carpenter, "Computer rendering of stochastic models," Commun. ACM, vol. 25, no. 6, pp. 371-384, 1982.
19. D. Montgomery, Design and Analysis of Experiments. NewYork: Wiley, 2005.