Accelerated evolution: A biologically-inspired approach for augmenting self-star properties in wireless sensor networks

Pruet Boonma; Junichi Suzuki

doi:10.1007/978-3-642-28525-7_4

Accelerated evolution: A biologically-inspired approach for augmenting self-star properties in wireless sensor networks

Pruet Boonma
, Junichi Suzuki

Computer Science

Chiang Mai University

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Original language	English
Title of host publication	Transactions on Computational Science XV
Editors	Marina Gavrilova, Chih Jeng Kenneth Tan, Cong-Vinh Phan
Pages	108-129
Number of pages	22
DOIs	https://doi.org/10.1007/978-3-642-28525-7_4
State	Published - 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7050 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-28525-7_4

Cite this

Boonma, P., & Suzuki, J. (2012). Accelerated evolution: A biologically-inspired approach for augmenting self-star properties in wireless sensor networks. In M. Gavrilova, C. J. K. Tan, & C.-V. Phan (Eds.), Transactions on Computational Science XV (pp. 108-129). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7050 LNCS). https://doi.org/10.1007/978-3-642-28525-7_4

Accelerated evolution: A biologically-inspired approach for augmenting self-star properties in wireless sensor networks. / Boonma, Pruet; Suzuki, Junichi.
Transactions on Computational Science XV. ed. / Marina Gavrilova; Chih Jeng Kenneth Tan; Cong-Vinh Phan. 2012. p. 108-129 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7050 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Boonma, P & Suzuki, J 2012, Accelerated evolution: A biologically-inspired approach for augmenting self-star properties in wireless sensor networks. in M Gavrilova, CJK Tan & C-V Phan (eds), Transactions on Computational Science XV. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7050 LNCS, pp. 108-129. https://doi.org/10.1007/978-3-642-28525-7_4

Boonma P, Suzuki J. Accelerated evolution: A biologically-inspired approach for augmenting self-star properties in wireless sensor networks. In Gavrilova M, Tan CJK, Phan CV, editors, Transactions on Computational Science XV. 2012. p. 108-129. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-28525-7_4

Boonma, Pruet ; Suzuki, Junichi. / Accelerated evolution : A biologically-inspired approach for augmenting self-star properties in wireless sensor networks. Transactions on Computational Science XV. editor / Marina Gavrilova ; Chih Jeng Kenneth Tan ; Cong-Vinh Phan. 2012. pp. 108-129 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Accelerated evolution: A biologically-inspired approach for augmenting self-star properties in wireless sensor networks

Publication series

ASJC Scopus Subject Areas

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