Paper Info
Title
An optimal oil skimmer assignment based on a genetic algorithm with minimal mobilized locations
Abstract
ABSTRACTOil spill cleanups in the ocean often involve oil skimmers to be mobilized from all the reserved locations, which is not efficient. In this study, optimization was performed to minimize the mobilization points of the arrangement in the existing study. For this purpose, a simulation was run to validate the solution produced by the genetic algorithm based on scenarios similar to the actual situation. The scenarios are based on 19 of the largest oil spills that have occurred in South Korea and are compared with the existing work time minimization strategy. By utilizing the mobilization point minimization strategy, the number of areas required for a given work time was reduced by approximately 12.38% on average and approximately 7.08% on average in terms of work time.
Year
DOI
Venue
2021
10.1145/3449726.3459412
Genetic and Evolutionary Computation Conference
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Dong-Hee Cho100.68
Yong-Hyuk Kim235540.27