Optimal Wireless Sensor Network Layout with Metaheuristics: Solving a Large Scale Instance-Reference-Cited by-同舟云学术

Optimal Wireless Sensor Network Layout with Metaheuristics: Solving a Large Scale Instance

Published:2008 Issue: Volume: Page:527-535
ISSN:0302-9743
Container-title:Large-Scale Scientific Computing
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Author:

Alba Enrique,Molina Guillermo

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-78827-0_60

Reference7 articles.

1. Akyildiz, I., et al.: A survey on sensor networks. IEEE Communications Magazine (2002)

2. Lecture Notes in Computer Science;E. Alba,2007

3. Eshelman, L.J.: The CHC Adaptive Search Algorithm: How to Have Safe Search When Engaging in Nontraditional Genetic Recombination. In: Foundations of Genetic Algorithms, pp. 265–283. Morgan Kaufmann, San Francisco (1991)

4. Jourdan, D., de Weck, O.: Layout optimization for a wireless sensor network using a multi-objective genetic algorithm. In: Proceedings of the IEEE Semiannual Vehicular Technology Conference, vol. 5, pp. 2466–2470 (2004)

5. Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P.: Optimization by simulated annealing. Science 4598(220), 671–680 (1983)

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