Name
Abstract | ||
|---|---|---|
In this paper, a hybrid TS-DE algorithm based on Tabu search and differential evolution algorithm is proposed to solve the reliability redundancy optimization problem. A differential evolution algorithm is embedded in Tabu search algorithm. TS is applied for searching solutions space, and DE is used for generating neighborhood solutions. The advantages of both algorithms are considered simultaneously. And an adaptive hybrid TS-DE approach is developed to solve three benchmark reliability redundancy allocation problems. By comparing with other algorithms reported in previous literatures, experimental results show that the proposed method is effective and efficient for solving the reliability redundancy optimization problem. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.4304/jcp.9.9.2050-2057 | JOURNAL OF COMPUTERS |
Keywords | Field | DocType |
nonlinear programming, Tabu search, differential evolution, reliability optimization, redundancy allocation | Mathematical optimization,Computer science,Nonlinear programming,Algorithm,Differential evolution,Redundancy (engineering),Artificial intelligence,Redundancy optimization,Machine learning,Tabu search,Differential evolution algorithm,Reliability optimization | Journal |
Volume | Issue | ISSN |
9 | 9 | 1796-203X |
Citations | PageRank | References |
4 | 0.42 | 19 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu-Bao Liu | 1 | 164 | 16.36 |
| Guihe Qin | 2 | 23 | 9.00 |