Abstract
The paper discusses a research related with the innovative sense of using Decision Support System based on a Bioinspired Algorithm related with an Agribussiness and hobby too about Hydroponics, to determine the correct and adequate selection of seeds in small spaces to build scenarios of location in the future to analyze the way to improve Mexican families’ economy, this research which permits select a specific number of seeds to cultivate each one of 25 different seeds –In a time horizon of a seasonal cultivate (approximately three months)-, these seeds are evaluated from a information repository with data from another suceesful hydroponics systems. Each harvest was analyzed to built their cost-benefit during different times and scenarios and determine the viability of cultivate in the time horizon using a formal methodology based on Bioinspired Algorithms. The group of 25 seeds cultivated by “Leguizamo Povedano Cooperative” is characterized and analyzed by obtain the most representative and sucessful future scenario to determine the quantity of seeds cultivated which try to improve the limited resources and the perspectives of determine the correct selection to stablishment a signifcately life day. A case of study is presented regarding to the proposal horizons using data obtained from the Repository of the Cooperative. The intention of the present research is to apply the computational properties; in this case of established a Model of Hydropoics cultivate in a Cooperative. In addition, we analyzed the selection and location of location to cultivate a specific seed using a similarity model to locate this. The sample of study allowed analyzing the individual features of each harvest with the emulation from set matching features (commercialization, climate, in others). By means of this is possible to predict the best location to cultivte.
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References
Desmond, A., Moore, J.: Darwin – la vida de un evolucionista atormentado. Generación Editorial, São Paulo, Brazil (1995)
Ochoa, A., et al.: Baharastar – Simulador de Algoritmos Culturales para la Minería de Datos Social. In: Proceedings of COMCEV 2007 (2007)
Ochoa, A., et al.: Dyoram’s Representation Using a Mosaic Image. The International Journal of Virtual Reality
Memory Alpha (2009), http://en.memory-alpha.org
Callogerodóttir, Z., Ochoa, A.: Optimization Problem Solving using Predator/Prey Games and Cultural Algorithms. In: NDAM 2003, Reykiavik, Iceland (2007)
Hué, T., et al.: The Emergence of Social Network Hierarchy Using Cultural Algorithms. In: VLDB 2006, Seoul, Korea (2006)
Vukčević, I., Ochoa, A.: Similar cultural relationships in Montenegro. In: JASSS 2005, England (2005)
Dennis, Z.: Culture and Organizations. McGraw-Hill, London (1991)
Ponce, J., et al.: Data Mining and Knowledge Discovery in Real Life Applications. Ponce, J., Karahoca, A. (eds.), vol. 438. I-Tech, Vienna (2009) ISBN 978-3-902613-53-0
Ustaoglu, Y.: Simulating the behavior of a minority in Turkish Society. In: ASNA 2009, Zurigo, Svizerra (2009)
Nolfi, S., Floreano, D.: Evolutionary Robotic: The Biology, Intelligence, and Technology of Self-Organization Machines. MIT Press, MA (2000)
Reynolds, R.G., Sverdlik, W.: Problem Solving Using Cultural Al-gorithms. In: International Conference on Evolutionary Computation, pp. 645–650 (1994)
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Ochoa-Zezzatti, A. et al. (2013). Small Hydroponics Garden Improved Using Cultural Algorithms. In: Castillo, O., Melin, P., Kacprzyk, J. (eds) Recent Advances on Hybrid Intelligent Systems. Studies in Computational Intelligence, vol 451. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33021-6_32
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DOI: https://doi.org/10.1007/978-3-642-33021-6_32
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