Investigating the enhanced Best Performance Algorithm for Annual Crop Planning problem based on economic factors

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 inves...

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Detalles Bibliográficos
Autores principales: Adewumi, Aderemi Oluyinka, Chetty, Sivashan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5549700/
https://www.ncbi.nlm.nih.gov/pubmed/28792495
http://dx.doi.org/10.1371/journal.pone.0180813
Descripción
Sumario: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.

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