Forward-Escape Algorithm: A New Metaheuristic and Its Utilization to Handle Optimization Problem in Crab Precision Farming

There are a lot of optimization studies in the precision farming system including the farming process and the logistics process in the back front and the harvesting management in the fore front.On the other hand, metaheuristic is a popular stochastic optimization technique that has been utilized in wide range of optimization studies, especially in engineering field.Unfortunately, the optimization cases in smart farming in the introductions of new metaheuristics is still rare to find.Based on this problem, this work introduces a new metaheuristic called as forward escape algorithm (FEA).FEA is developed based on swarm intelligence.It employs three directed searches where the first two searches are the motion toward the target and the third search is the motion away from the target.The assessment of FEA is conducted by deploying FEA to solve 23 standard functions and crab seed order allocation problem in crab vertical farming system.During the assessment, FEA is benchmarked with potter optimization algorithm (POA), red panda optimization (RPO), total interaction algorithm (TIA), hiking optimization (HO), and dollmaker optimization algorithm (DOA).The result shows that FEA is better than POA, RPO, TIA, HO, and DOA in 19, 15, 15, 22, and 14 functions respectively.Meanwhile, FEA is competitive as it becomes the second best in solving crab seed order allocation problem after DOA.