Paper Info
Title
Optimal equipment assignment for oil spill response using a genetic algorithm.
Abstract
We propose a genetic algorithm (GA)-based optimal equipment assignment method for oil spill response. We devised a repair operation suitable for constrained equipment assignment. In addition, the assignment strategies were evaluated by simulation to ensure that it would conform to current South Korean standards. At sixteen locations in South Korea, the assignment for the response work optimized by the GA took 1.1% less time on average than the current assignment. Furthermore, an optimal assignment was determined, which achieved a 29% reduction in the total capacity of the oil skimmers compared to the current standard.
Year
DOI
Venue
2019
10.1145/3319619.3321899
GECCO
Keywords
Field
DocType
combinatorial optimization, resource allocation, genetic algorithm
Mathematical optimization,Oil spill,Computer science,Combinatorial optimization,Resource allocation,Genetic algorithm
Conference
ISBN
Citations 
PageRank 
978-1-4503-6748-6
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Hye-Jin Kim13917.46
Junghwan Lee25012.51
Jong-Hwui Yun300.34
Yong-Hyuk Kim435540.27