Title :
Towards optimal placement of bio-weapon detectors
Author :
Kiekintveld, Chris ; Lerma, Octavio
Author_Institution :
Dept. of Comput. Sci., Univ. of Texas at El Paso, El Paso, TX, USA
Abstract :
Biological weapons are difficult and expensive to detect. Within a limited budget, we can afford a limited number of bio-weapon detector stations. It is therefore important to find the optimal locations for such stations. A natural idea is to place more detectors in the areas with more population - and fewer in desert areas, with fewer people. However, such a commonsense analysis does not tell us how many detectors to place where. To decide on the exact placement of bio-weapon detectors, we formulate the placement problem in precise terms, and come up with an (almost) explicit solution to the resulting optimization problem.
Keywords :
optimal systems; optimisation; weapons; bio-weapon detectors; biological weapons; commonsense analysis; desert areas; optimal locations; optimal placement; optimization problem; Argon; Detectors; Diseases; Optimization; Presses; Weapons;
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS), 2011 Annual Meeting of the North American
Conference_Location :
El Paso, TX
Print_ISBN :
978-1-61284-968-3
Electronic_ISBN :
Pending
DOI :
10.1109/NAFIPS.2011.5752031