2013
DOI: 10.1155/2013/158538
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Three New Stochastic Local Search Metaheuristics for the Annual Crop Planning Problem Based on a New Irrigation Scheme

Abstract: Annual Crop Planning (ACP) is an NP-hard-type optimization problem in agricultural planning. It involves finding optimal solutions concerning the seasonal allocations of a limited amount of agricultural land amongst the various competing crops that are required to be grown on it. This study investigates the effectiveness of employing three new local search (LS) metaheuristic techniques in determining solutions to an ACP problem at a new Irrigation Scheme. These three new LS metaheuristic techniques are the Bes… Show more

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Cited by 14 publications
(21 citation statements)
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“…Some of these techniques include using memory abilities, randomly 'jumping' to other local neighbourhood structures of the solution space and learning from other artificial 'agents', amongst others (Chetty & Adewumi, 2013a, 2014. Heuristic algorithms that use intelligent techniques, in reducing the possibility of premature convergence, are known as metaheuristic algorithms.…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…Some of these techniques include using memory abilities, randomly 'jumping' to other local neighbourhood structures of the solution space and learning from other artificial 'agents', amongst others (Chetty & Adewumi, 2013a, 2014. Heuristic algorithms that use intelligent techniques, in reducing the possibility of premature convergence, are known as metaheuristic algorithms.…”
Section: Methodsmentioning
confidence: 99%
“…After a predetermined number of iterations complete the best solution found will be representative of the best technique determined by the athlete. This best solution will be the first solution registered on the PL (Chetty & Adewumi, 2013a, 2013b.…”
Section: Best Performance Algorithmmentioning
confidence: 99%
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“…The problem had 10 competing crops over 3764 ha (Chetty and Adewumi 2013). The objective function in this study was to maximize the gross benefits of famers subject to many constraints related to crops' allocation.…”
Section: Studies Using Simulated Annealingmentioning
confidence: 99%
“…Simulated annealing (SA) has also been shown to be highly effective for discrete problems [35,36], hence its selection for the current problem. SA is based on real-life annealing, where the heating of metals allows for atoms to move from their initial position, and cooling allows for the atoms to settle in new optimal positions.…”
Section: Simulated Annealingmentioning
confidence: 99%