Improved shuffled frog leaping algorithm on system reliability analysis
Abstract With the increase in system complexity, the intelligent heuristic optimization methods have received more and more attention on system reliability analysis. However, the objective functions and constraint conditions of system reliability are nonlinear. Thereby, a hybrid optimization method...
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Online Access: | http://link.springer.com/article/10.1186/s40708-019-0095-4 |
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doaj-66436c503d674e5aa7c47c7148ab959f2020-11-25T00:33:49ZengSpringerOpenBrain Informatics2198-40182198-40262019-01-01611710.1186/s40708-019-0095-4Improved shuffled frog leaping algorithm on system reliability analysisYancang Li0Zhen Yan1College of Water Conservancy and Hydroelectric Power, Hebei University of EngineeringCollege of Civil Engineering, Hebei University of EngineeringAbstract With the increase in system complexity, the intelligent heuristic optimization methods have received more and more attention on system reliability analysis. However, the objective functions and constraint conditions of system reliability are nonlinear. Thereby, a hybrid optimization method was proposed, based on the shuffled frog leaping algorithm and bacterial foraging algorithm, to solve the problem of system reliability and redundancy allocation. First, random grouping strategy was added to maintain the diversity of the population. Then, the Levy flight update strategy was used to increase the global search ability. Finally, the method of migration operation was introduced to escape from local optimums. The proposed methodology, a new version of the SFLA algorithm, was then applied to the mathematical test and the operation of the system reliability model, respectively. Results show that compared to the common methods, it can obtain the best solution, with the maximum value of the system reliability.http://link.springer.com/article/10.1186/s40708-019-0095-4Hybrid optimization methodShuffled frog leaping algorithmBacterial foraging algorithmLevy flightSystem reliability |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yancang Li Zhen Yan |
spellingShingle |
Yancang Li Zhen Yan Improved shuffled frog leaping algorithm on system reliability analysis Brain Informatics Hybrid optimization method Shuffled frog leaping algorithm Bacterial foraging algorithm Levy flight System reliability |
author_facet |
Yancang Li Zhen Yan |
author_sort |
Yancang Li |
title |
Improved shuffled frog leaping algorithm on system reliability analysis |
title_short |
Improved shuffled frog leaping algorithm on system reliability analysis |
title_full |
Improved shuffled frog leaping algorithm on system reliability analysis |
title_fullStr |
Improved shuffled frog leaping algorithm on system reliability analysis |
title_full_unstemmed |
Improved shuffled frog leaping algorithm on system reliability analysis |
title_sort |
improved shuffled frog leaping algorithm on system reliability analysis |
publisher |
SpringerOpen |
series |
Brain Informatics |
issn |
2198-4018 2198-4026 |
publishDate |
2019-01-01 |
description |
Abstract With the increase in system complexity, the intelligent heuristic optimization methods have received more and more attention on system reliability analysis. However, the objective functions and constraint conditions of system reliability are nonlinear. Thereby, a hybrid optimization method was proposed, based on the shuffled frog leaping algorithm and bacterial foraging algorithm, to solve the problem of system reliability and redundancy allocation. First, random grouping strategy was added to maintain the diversity of the population. Then, the Levy flight update strategy was used to increase the global search ability. Finally, the method of migration operation was introduced to escape from local optimums. The proposed methodology, a new version of the SFLA algorithm, was then applied to the mathematical test and the operation of the system reliability model, respectively. Results show that compared to the common methods, it can obtain the best solution, with the maximum value of the system reliability. |
topic |
Hybrid optimization method Shuffled frog leaping algorithm Bacterial foraging algorithm Levy flight System reliability |
url |
http://link.springer.com/article/10.1186/s40708-019-0095-4 |
work_keys_str_mv |
AT yancangli improvedshuffledfrogleapingalgorithmonsystemreliabilityanalysis AT zhenyan improvedshuffledfrogleapingalgorithmonsystemreliabilityanalysis |
_version_ |
1725314767341486080 |