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A decision support system for fish farming using particle swarm optimization

Abstract: This work presents a Decision Support System (DSS) for fish farming in cages that determines the production strategies that maximize the present profits of the farming process. It is a model-driven cooperative DSS in which the cultivation process is simulated through a bioeconomic model that considers economic, environmental, biological and technical data. The optimal production strategies are determined using Particle Swarm Optimization (PSO). The DSS helps to deal with two types of decisions: operational decisions in which the DSS obtains the optimal solution under particular conditions; and strategic decisions, in which the DSS allows to obtain the optimal economic result in different scenarios. There are a broad range of strategic decisions in which this DSS can be applied, among others, site selection, feed, production capacity, or harvest weight.

 Autoría: Cobo Á., Llorente I., Luna L., Luna M.,

 Fuente: Computers and Electronics in Agriculture, 2019, 161, 121-130

 Editorial: Elsevier

 Año de publicación: 2019

 Nº de páginas: 10

 Tipo de publicación: Artículo de Revista

 DOI: 10.1016/j.compag.2018.03.036

 ISSN: 0168-1699,1872-7107

 Proyecto español: CYTED ; BigDSSAgro (Ref. P515RT012)

 Url de la publicación: https://doi.org/10.1016/j.compag.2018.03.036