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

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  • Aderemi Oluyinka Adewumi
  • Sivashan Chetty

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.

Suggested Citation

  • Aderemi Oluyinka Adewumi & Sivashan Chetty, 2017. "Investigating the enhanced Best Performance Algorithm for Annual Crop Planning problem based on economic factors," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-22, August.
    • Handle: RePEc:plo:pone00:0180813
    DOI: 10.1371/journal.pone.0180813
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    References listed on IDEAS

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    1. Krugman, Paul, 1980. "Scale Economies, Product Differentiation, and the Pattern of Trade," American Economic Review, American Economic Association, vol. 70(5), pages 950-959, December.
    2. K. Srinivasa Raju & D. Nagesh Kumar, 2004. "Irrigation Planning using Genetic Algorithms," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 18(2), pages 163-176, April.
    3. J. Edwin Faris, 1961. "Economies of Scale in Crop Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 43(5), pages 1219-1226.
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    1. Cervantes-Gaxiola, Maritza E. & Sosa-Niebla, Erik F. & Hernández-Calderón, Oscar M. & Ponce-Ortega, José M. & Ortiz-del-Castillo, Jesús R. & Rubio-Castro, Eusiel, 2020. "Optimal crop allocation including market trends and water availability," European Journal of Operational Research, Elsevier, vol. 285(2), pages 728-739.

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