An evolutionary approach to robot scheduling in protected cultivation systems for uninterrupted and maximization of working time

• Protected cultivation offers year-round crop production, promotes food security and ease in robotic applications. Proposed robot scheduling method improved continuous worktime minimized related charge cost. Efficiencies state of (SOC) batteries affects optimal number charging stations. The total work time are affected by the SOC at start work. Increased instances battery discharge saved protected systems. system, an alternative to open field provides opportunities such as production especially during disasters well automation. However, is limited hazardous environments skilled labor shortages thus necessitating Robots mostly battery-powered, requiring regular charges depending on task. In a multi-robot due limitation availability infrastructure uneven rates robots task, it very difficult predict when would require charging. Therefore, maximize robots, required. Consequently, we propose novel system for efficiently utilizing mobile systems developing that maximizes minimizes concentrated energy demand. We formulated problem evaluate regularly optimally send station. This was solved using evolutionary algorithm. considered: a) available robots; b) stations; c) required hours; d) capacity; e) rates; f) instances. All parameters could be set user preference. applicability proposed demonstrated with experimental simulations MATLAB under different cases scenarios. These scenarios our maximized significant percentage power all situations.