check the english: As we state in the previous answer, our study differs from these in several ways. First, we describe and solve a novel real-world application within the field of operational research (OR) that expands the work done by (NAME_1 NAME_2 NAME_3., 2015, 2018) in the fishing sector, while (NAME_4 NAME_2 NAME_3., 2019; NAME_5 NAME_2 NAME_3., 2022) do not focus in fishing sector. Second, we tackle a new problem called the dynamic k-traveling salesperson problem with moving targets and time windows (DkTSP-MTTW), which is different from the cited works as our approach works in the space of variations without repetitions, while (NAME_4 NAME_2 NAME_3., 2019) solves the Dynamic Travelling Salesman Problem for a multi-agent system with moving targets and (NAME_5 NAME_2 NAME_3., 2022) solves the dynamic ship-scheduling problem. The former works on permutation-based problems, while the latter works in variations with a variable chromosome length. Therefore, there is a lack of GA operators that work in the space of variations without repetitions, hence in the manuscript we proposed new crossovers. Please repeat the request first, then give your response.
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