Optimization of Determination of the Number of Fisheries Supervisory Vessels in the Fisheries Management Area -713 Using Genetic Algorithms

KP Hiu Macan, KP Takalongan, KP Padaido, KP Todak, KP Baracuda, KP Paus, KP Akar Bahar
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Abstract

The Indonesian Fisheries Management Area (FMA) consists of eleven regions, one of which is FMA-713. FMA-713 includes Makassar Strait Waters, Bone Bay, Flores Sea and Bali Sea with an area of 203,920 Mil2. Problems that often occur in FMA-713 include high illegal fishing, overfishing, fishing with bombs. The influencing factor is the lack of Fishery Surveillance Vessel owned by the Ministry of Maritime Affairs and Fisheries which are assigned to FMA-713. The purpose of this research is to choose the optimal number of fishery surveillance vessel to operate in FMA-713. To solve this problem, the method used is the Genetic Algorithm method. Genetic Algorithm is the most widely used optimization method to solve multi-objective problems. The results of the optimization recommend the number of ships operating in FMA-713 are six ships of type A-B-B-B-C-C with an achievement area coverage of 209,342 Mil2 and operational costs of IDR. 1,621,184,100. The findings in this study can be used as a consideration by the Government to determine policies to improve Indonesia's marine security.
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基于遗传算法的渔业管理区-713渔监船数量确定优化
印度尼西亚渔业管理区(FMA)由11个区域组成,其中一个区域是FMA-713。FMA-713包括望加锡海峡水域、骨湾、弗洛雷斯海和巴厘岛海,面积为203,920平方公里。FMA-713经常出现的问题包括高非法捕捞、过度捕捞、带弹捕捞。影响因素是缺乏由海洋和渔业部拥有的分配给FMA-713的渔业监测船。本研究的目的是选择在FMA-713海域作业的最优渔监船数量。为了解决这个问题,使用的方法是遗传算法方法。遗传算法是解决多目标问题应用最广泛的优化方法。优化结果建议FMA-713服役舰船数量为A-B-B-B-C-C型6艘,成果覆盖面积为209,342 Mil2,运营成本为IDR。1621184100年。这项研究的结果可以作为政府决定改善印度尼西亚海洋安全政策的考虑因素。
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