Name
Abstract | ||
|---|---|---|
Social emotional optimisation algorithm (SEOA) is a new swarm intelligent technique to stimulate human behaviours. However, up to date, there are few applications. Therefore, in this paper, SEOA is successfully applied to the redundancy optimisation problem. The objective of the redundancy allocation problem is to select from available components and to determine an optimal design configuration to maximise system reliability. BP neural network is trained to calculate the objective fitness, while SEOA is applied to check the best choice of feasibility of solution. One example is used to illustrate the effectiveness of SEOA. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1504/IJCAT.2012.047156 | IJCAT |
Keywords | Field | DocType |
best choice,social emotional optimisation algorithm,objective fitness,available component,redundancy allocation problem,bp neural network,intelligent technique,human behaviour,new swarm,redundancy optimisation problem,optimal design,swarm intelligence | Swarm behaviour,Swarm intelligence,Social emotional learning,Algorithm,Optimal design,Redundancy (engineering),Artificial intelligence,Engineering,Artificial neural network,Machine learning | Journal |
Volume | Issue | ISSN |
43 | 4 | 0952-8091 |
Citations | PageRank | References |
3 | 0.42 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chunxia Yang | 1 | 27 | 2.59 |
| Li-Chao Chen | 2 | 14 | 7.02 |
| Zhihua Cui | 3 | 793 | 62.19 |