Abstract. The high cost of localized irrigation system inhibits the expansion of its application, even though it is the most efficient type of irrigation on water usage. Water is a natural, finite and chargeable resource. The population growth and the rising of population´s income require the increase of food and biomass production. The guarantee of agricultural production through irrigation with the rational use of water is a necessity and the research and development of methods to optimize the cost of the localized irrigation project can ensure the expansion of its use. This paper presents a genetic algorithm (GA-LCLI) to search a less costly localized irrigation project. The results are compared with those presented by a previous work: there is an improvement in the execution runtime and in the cost of the irrigation systems.
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