Abstract
CAD technology is an important part of electronic information technology, which is promoting the renewal and transformation of traditional industries and disciplines. The development of CAD technology can help us to solve many practical problems. This paper designed a power location optimization system, which apply CAD technology into the application of power line location and optimization. We achieved the real terrain reconstruction based on Google Earth and ACIS. Combining with be membrane computing and ant colony optimization (ACO), we proposed a power lines optimization algorithm, MACO, which solved power line location and optimization problem in the new terrain that we constructed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Li, W.D., et al.: Collaborative computer-aided design—research and development status. Comput. Aided Des. 37(9), 931–940 (2005)
Li, B.H., et al.: Parallel ant colony optimization for the determination of a point heat source position in a 2-D domain. Appl. Therm. Eng. 91, 994–1002 (2015)
Păun, Gh, Pérez-Jiménez, M.J.: Membrane computing: brief introduction, recent results and applications. BioSystems 85, 11–22 (2006)
Juayong, R.A.B., Adorna, H.N.: Relating computations in non-cooperative transition P systems and evolution-communication P systems with energy. Fundamenta Informaticae 136(3), 209–217 (2015)
Mandloi, M., Bhatia, V.: Congestion control based ant colony optimization algorithm for large MIMO detection. Expert Syst. Appl. 42(7), 3662–3669 (2015)
Acknowledgment
Project supported by National Natural Science Foundation of China (61170038,61472231), Jinan City independent innovation plan project in College and Universities, China (201401202), Ministry of education of Humanities and social science research project, China (12YJA630152), Social Science Fund Project of Shandong Province, China (11CGLJ22), outstanding youth scientist foundation project of Shandong Province, China (BS2013DX037).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Zhao, D., Liu, X., Sun, W. (2016). Power Lines Optimization Algorithm for Membrane Computing Based on Google Earth and ACIS. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2016. Lecture Notes in Computer Science(), vol 9567. Springer, Cham. https://doi.org/10.1007/978-3-319-31854-7_107
Download citation
DOI: https://doi.org/10.1007/978-3-319-31854-7_107
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-31853-0
Online ISBN: 978-3-319-31854-7
eBook Packages: Computer ScienceComputer Science (R0)