Authors:
Seo-Ah Yu
1
;
Choong-Ki Kim
2
and
Yong-Hyuk Kim
1
Affiliations:
1
Dept. Comp. Sci, Kwangwoon University, Seoul, Republic of Korea
;
2
Divisions for Natural Environment, Korea Environment Institute, Seoul, Republic of Korea
Keyword(s):
Genetic Algorithm, Multi-Objective Optimization, Marine Spatial Planning.
Abstract:
To efficiently utilize marine space, numerous experiments have been conducted to optimize marine space. We utilize a genetic algorithm (GA) to develop an optimal spatial plan for the Exclusive Economic Zone (EEZ). The space can be allocated for six different uses, each with its own weight. Conflicts exist among these uses. The objective is to maximize the fitness of the space by evaluating it at the cell level. This involves maximizing the evaluation score, which is determined by the weighted sum of each cell’s use, minimizing conflicts, and reducing the number of clusters to ensure continuity of use. The basic allocation model, which achieves the best quality among random solutions within the same running time as our GA, is used for comparison. Experimental results showed that, when our method is compared to the basic model, the evaluation scores increased by approximately 20%, except for one case of use ‘ecology’. Additionally, conflicts between zones decreased, and the total fitne
ss improved as the number of clusters decreased.
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