Applying a New Adaptive Genetic Algorithm to Study the Layout of Drilling Equipment in Semisubmersible Drilling Platforms
Joint Authors
Xiao, Wensheng
Wu, Lei
Tian, Xue
Wang, Jingli
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-27
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This study proposes a new selection method called trisection population for genetic algorithm selection operations.
In this new algorithm, the highest fitness of 2N/3 parent individuals is genetically manipulated to reproduce offspring.
This selection method ensures a high rate of effective population evolution and overcomes the tendency of population to fall into local optimal solutions.
Rastrigin’s test function was selected to verify the superiority of the method.
Based on characteristics of arc tangent function, a genetic algorithm crossover and mutation probability adaptive methods were proposed.
This allows individuals close to the average fitness to be operated with a greater probability of crossover and mutation, while individuals close to the maximum fitness are not easily destroyed.
This study also analyzed the equipment layout constraints and objective functions of deep-water semisubmersible drilling platforms.
The improved genetic algorithm was used to solve the layout plan.
Optimization results demonstrate the effectiveness of the improved algorithm and the fit of layout plans.
American Psychological Association (APA)
Xiao, Wensheng& Wu, Lei& Tian, Xue& Wang, Jingli. 2015. Applying a New Adaptive Genetic Algorithm to Study the Layout of Drilling Equipment in Semisubmersible Drilling Platforms. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073002
Modern Language Association (MLA)
Xiao, Wensheng…[et al.]. Applying a New Adaptive Genetic Algorithm to Study the Layout of Drilling Equipment in Semisubmersible Drilling Platforms. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1073002
American Medical Association (AMA)
Xiao, Wensheng& Wu, Lei& Tian, Xue& Wang, Jingli. Applying a New Adaptive Genetic Algorithm to Study the Layout of Drilling Equipment in Semisubmersible Drilling Platforms. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073002
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073002