{"quality_controlled":0,"day":"20","conference":{"name":"AHS: NASA/ESA Conference on Adaptive Hardware and Systems"},"extern":1,"citation":{"short":"E. Yang, N. Haridas, A. El Rayis, A. Erdogan, T. Arslan, N.H. Barton, in:, IEEE, 2007, pp. 27–34.","ieee":"E. Yang, N. Haridas, A. El Rayis, A. Erdogan, T. Arslan, and N. H. Barton, “Multiobjective optimal design of MEMS-based reconfigurable and evolvable sensor networks for space applications,” presented at the AHS: NASA/ESA Conference on Adaptive Hardware and Systems, 2007, pp. 27–34.","ama":"Yang E, Haridas N, El Rayis A, Erdogan A, Arslan T, Barton NH. Multiobjective optimal design of MEMS-based reconfigurable and evolvable sensor networks for space applications. In: IEEE; 2007:27-34. doi:<a href=\"https://doi.org/10.1109/AHS.2007.76\">10.1109/AHS.2007.76</a>","apa":"Yang, E., Haridas, N., El Rayis, A., Erdogan, A., Arslan, T., &#38; Barton, N. H. (2007). Multiobjective optimal design of MEMS-based reconfigurable and evolvable sensor networks for space applications (pp. 27–34). Presented at the AHS: NASA/ESA Conference on Adaptive Hardware and Systems, IEEE. <a href=\"https://doi.org/10.1109/AHS.2007.76\">https://doi.org/10.1109/AHS.2007.76</a>","chicago":"Yang, Erfu, Nakul Haridas, Ahmed El Rayis, Ahmet Erdogan, Tughrul Arslan, and Nicholas H Barton. “Multiobjective Optimal Design of MEMS-Based Reconfigurable and Evolvable Sensor Networks for Space Applications,” 27–34. IEEE, 2007. <a href=\"https://doi.org/10.1109/AHS.2007.76\">https://doi.org/10.1109/AHS.2007.76</a>.","mla":"Yang, Erfu, et al. <i>Multiobjective Optimal Design of MEMS-Based Reconfigurable and Evolvable Sensor Networks for Space Applications</i>. IEEE, 2007, pp. 27–34, doi:<a href=\"https://doi.org/10.1109/AHS.2007.76\">10.1109/AHS.2007.76</a>.","ista":"Yang E, Haridas N, El Rayis A, Erdogan A, Arslan T, Barton NH. 2007. Multiobjective optimal design of MEMS-based reconfigurable and evolvable sensor networks for space applications. AHS: NASA/ESA Conference on Adaptive Hardware and Systems, 27–34."},"title":"Multiobjective optimal design of MEMS-based reconfigurable and evolvable sensor networks for space applications","date_updated":"2021-01-12T07:44:35Z","doi":"10.1109/AHS.2007.76","month":"08","date_created":"2018-12-11T12:04:11Z","publisher":"IEEE","date_published":"2007-08-20T00:00:00Z","publist_id":"2782","type":"conference","_id":"3601","year":"2007","page":"27 - 34","publication_status":"published","author":[{"last_name":"Yang","full_name":"Yang, Erfu","first_name":"Erfu"},{"first_name":"Nakul","full_name":"Haridas, Nakul","last_name":"Haridas"},{"full_name":"El-Rayis, Ahmed O","last_name":"El Rayis","first_name":"Ahmed"},{"first_name":"Ahmet","last_name":"Erdogan","full_name":"Erdogan, Ahmet T"},{"first_name":"Tughrul","last_name":"Arslan","full_name":"Arslan, Tughrul"},{"orcid":"0000-0002-8548-5240","last_name":"Barton","full_name":"Nicholas Barton","first_name":"Nicholas H","id":"4880FE40-F248-11E8-B48F-1D18A9856A87"}],"status":"public","abstract":[{"text":"In this paper, the multiobjective optimal design of space-based reconfigurable sensor networks with novel adaptive MEMS antennas is investigated by using multiobjective evolutionary algorithms. The non-dominated sorting genetic algorithm II (NSGA-II) is employed to obtain multi-criteria Pareto-optimal solutions, which allows system designers to easily make a reasonable trade-off choice from the set of non-dominated solutions according to their preferences and system requirements. As a case study, a cluster-based satellite sensing network is simulated under multiple objectives. Most importantly, this paper also presents the application of our newly designed adaptive MEMS antennas together with the NSGA-II to the multiobjective optimal design of space-based reconfigurable sensor networks.","lang":"eng"}]}