Name
Title | ||
|---|---|---|
Enhanced social emotional optimisation algorithm with generalised opposition-based learning |
Abstract | ||
|---|---|---|
Social emotional optimisation algorithm SEOA is a newly developed evolutionary algorithm, which exhibits excellent performance for various engineering problems in real-world applications. However, SEOA may easily trap into local optima when solving complex multimodal function optimisation problems. This paper proposes a novel social emotional optimisation algorithm, called GOSEOA, which performs the generalised opposition-based learning GOBL strategy with a certain probability during the evolution process. The proposed algorithm uses the generalised opposition-based learning strategy to transform the current population to a generalised opposition-based population. Accordingly, the current population and the generalised opposition-based population are simultaneously considered to increase the probability for finding the global optimum. Experiments conducted on a comprehensive set of benchmark functions indicate that GOSEOA can obtain promising performance on the majority of the test functions. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1504/IJCSM.2015.067543 | International Journal of Computing Science and Mathematics |
Keywords | Field | DocType |
evolutionary algorithms, numerical optimisation, social emotional optimisation, generalised opposition-based learning, GOBL | Population,Evolutionary algorithm,Multimodal function,Opposition based learning,Local optimum,Computer science,Social emotional learning,Global optimum,Algorithm,Artificial intelligence,Opposition (planets),Machine learning | Journal |
Volume | Issue | ISSN |
6 | 1 | 1752-5055 |
Citations | PageRank | References |
4 | 0.37 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhaolu Guo | 1 | 83 | 9.11 |
| xuezhi yue | 2 | 36 | 2.81 |
| Kejun Zhang | 3 | 27 | 6.35 |
| Changshou Deng | 4 | 39 | 10.80 |
| Songhua Liu | 5 | 4 | 1.05 |