Investigating the enhanced Best Performance Algorithm for Annual Crop Planning problem based on economic factors.
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- Record sourced from PubMed, PMID 28792495.
- Also identified by DOI 10.1371/journal.pone.0180813 and PMC identifier 5549700.
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Abstract
The Annual Crop Planning (ACP) problem was a recently introduced problem in the literature. This study further expounds on this problem by presenting a new mathematical formulation, which is based on market economic factors. To determine solutions, a new local search metaheuristic algorithm is investigated which is called the enhanced Best Performance Algorithm (eBPA). eBPA's results are compared against two well-known local search metaheuristic algorithms; these include Tabu Search and Simulated Annealing. The results show the potential of the eBPA for continuous optimization problems.
Medical subject headings
- Agricultural Irrigation
- Algorithms
- Crop Production