2017
DOI: 10.1016/j.compag.2017.02.018
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Soft simulator for redesigning of a chickpea harvester header

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Cited by 6 publications
(2 citation statements)
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“…New strategies have been introduced where field data and simulation models are synergistically combined, an overall framework referred to as model-based system testing [18,19]. In 2017, Golpira and Golpira [20] merged conventional design methodologies with metaheuristic modeling combining genetic algorithms with fuzzy logic to develop a hybrid computational algorithm that predicted the optimal sizing of a grain harvester platform. The main drawback found in this work, however, stemmed from the fact that a succession of platforms was fabricated according to the design output by a single optimization methodology, whose simplicity could not model such a complex operation as chickpea retrieval.…”
Section: Introductionmentioning
confidence: 99%
“…New strategies have been introduced where field data and simulation models are synergistically combined, an overall framework referred to as model-based system testing [18,19]. In 2017, Golpira and Golpira [20] merged conventional design methodologies with metaheuristic modeling combining genetic algorithms with fuzzy logic to develop a hybrid computational algorithm that predicted the optimal sizing of a grain harvester platform. The main drawback found in this work, however, stemmed from the fact that a succession of platforms was fabricated according to the design output by a single optimization methodology, whose simplicity could not model such a complex operation as chickpea retrieval.…”
Section: Introductionmentioning
confidence: 99%
“…A new framework to tackle computer-aided modeling and algorithms significantly reduces the time and the cost of structural optimization proposed by Golpira and Golpîra (2017). The hybrid computational algorithm consisted of genetic algorithms and fuzzy modeling which predicts optimal sizing of a platform to develop for a chickpea harvester header.…”
mentioning
confidence: 99%