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Solving the problem of optimizing fishing activities
DOI: 10.21443/1560-9278-2023-26-3-335-343
Abstract. A model for optimal planning of fishing activities has been proposed. It includes the formation of a biological component (a set of fishing objects considered taking into account their distribution over fishing zones) and a technological component (a set of fishing vessels and fishing technologies). On the basis of these two components, the technological chain "field object – production vessel – production technology" is formed. For each type of fishing vessel, it is permissible to use a certain type (or several types) of fishing technologies that are directly related to fishing objects, their catch can be carried out only using a certain production technology. Particular attention in the model is given to the problem of determining the optimal quantitative composition of the production fleet. The optimization criterion is the minimization of the costs associated with the fishing activities of specialized vessels, provided that the specified volumes of catch are achieved. The costs are directly related to the types of vessels used, fuel costs depending on the vessel's home port and the time required for loading and unloading operations. In the optimization problem, estimates of the weighted average daily catch and fishing time are used to account for most of the costs associated with the extraction of aquatic biological resources. The optimization algorithm is considered on the example of the Commander squid (Berryteuthis magister) in the North Kuril zone. In the area under consideration, squid production is carried out using trawl technology. The main types of vessels engaged in squid harvesting are large-capacity and medium-capacity vessels.
Printed reference: Lisienko S. V., Ivanko N. S. Solving the problem of optimizing fishing activities // Vestnik of MSTU. 2023. V. 26, No 3. P. 335-343.
Electronic reference: Lisienko S. V., Ivanko N. S. Solving the problem of optimizing fishing activities // Vestnik of MSTU. 2023. V. 26, No 3. P. 335-343. URL: http://vestnik.mstu.edu.ru/v26_3_n96/13_Lisienko_335-343.pdf.
