Optimization of efficient route and profitable fish aggregating device based on firefly and genetic algorithms in maritime

Selecting an efficient route and profitable fish aggregating device (FAD) position has become a significant matter for fishermen due to fuel limitations and environmental conditions. Certain efforts have been offered to determine the best FAD route by means of optimization methods. The firefly algorithm (FA) is one optimization method that has recently been developed and implemented. Furthermore, the genetic algorithm (GA) has been applied in many cases, including maritime. The objective of this study is to analyze the route optimization and to determine a profitable FAP based on FA and GA approaches. Simulations involving gamma value as the attractiveness variation and alpha as the randomness movements of fishing vessels are conducted. Their time complexity is computed to evaluate both performances. The mean absolute percentage error (MAPE) is also calculated in order to obtain the accuracy of forecasting/predicting the route to FAD position.