Evolutionary neighborhood discovery algorithm for agricultural routing planning in multiple fields

نویسندگان

چکیده

Abstract In recent years, operations research in agriculture has improved the harvested yield, reduced cost and time required for field operations, maintained economic environmental sustainability. The heuristics method, named Evolutionary neighborhood discovery algorithm (ENDA), is applied to minimize inter-field intra-field distance of routing planning machines multiple agricultural fields. problem an extended version Agricultural Routing Planning (ARP) that takes into consideration different capacity This also describes mathematical model represent proposed formulated as integer program. experimental results show ENDA successfully solves ARP instances, giving best fastest running compared those obtained by Genetic Algorithms Tabu Search. can save average 11.72% traveled outside working path (when making maneuvers, going or from entrances returning Depot).

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ژورنال

عنوان ژورنال: Annals of Operations Research

سال: 2022

ISSN: ['1572-9338', '0254-5330']

DOI: https://doi.org/10.1007/s10479-022-04685-5