Name
Abstract | ||
|---|---|---|
This paper introduces a variant of particle swarm optimization algorithm called the drift particle swarm optimization (DPSO), which is inspired by the free electron model in an external electric field at finite temperature. As the compression-expansion coefficient in DPSO is an important parameter which can greatly influence the performance of the algorithm, three types of control strategies are proposed to control this parameter. The performance of these strategies on the DPSO is comprehensively evaluated on eight benchmark functions. From the experimental results and statistical tests, guidelines about selecting the control method for the compression-expansion coefficient are given. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/CEC.2012.6256621 | IEEE Congress on Evolutionary Computation |
Keywords | Field | DocType |
statistical testing,thermal motion,particle swarm optimisation,statistical test,dpso,external electric field,finite temperature,compression-expansion coefficient,control strategy,free electron model,drift motion,drift particle swarm optimization,particle swarm optimization,optimization,algorithm design and analysis,benchmark testing,electric fields | Particle swarm optimization,Compression (physics),Mathematical optimization,Electric field,Algorithm design,Computer science,Meta-optimization,Multi-swarm optimization,Benchmark (computing),Statistical hypothesis testing | Conference |
Volume | Issue | ISBN |
null | null | 978-1-4673-1508-1 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Fang | 1 | 339 | 19.89 |
| Jun Sun | 2 | 1060 | 79.09 |
| Xiaojun Wu | 3 | 230 | 11.79 |
| Wenbo Xu | 4 | 120 | 4.77 |
| Vasile Palade | 5 | 1353 | 114.44 |