Name
Abstract | ||
|---|---|---|
In order to analyze the dynamics of the particle of the particle swarm optimization (abbr. PSO) rigorously, we proposed a canonical deterministic PSO (abbr. CD-PSO). The CD-PSO can be described a quite simple equation, and it is very easy to analyze the dynamics. However, the CD-PSO is a deterministic system, therefore, the solution search ability is worse than the conventional PSO which contains stochastic factors. The deterministic system is easy to implement since stochastic factors are not contained. Therefore, we consider the improvement method of the search ability for the CD-PSO. Based on the analysis results of the CD-PSO, we propose a deterministic multi-agent solving method (abbr. MAS). To improve the solution search performance, we propose a novel asynchronous MAS whose update manner is asynchronous. By using some benchmark functions, we confirm the effectiveness of the asynchronous MAS. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/SMC.2015.308 | 2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS |
Keywords | Field | DocType |
multi-agent solving system, deterministic system, asynchronous, rotation angle, particle swarm optimization | Particle swarm optimization,Asynchronous communication,Mathematical optimization,Stochastic optimization,Computer science,Multi-swarm optimization,Artificial intelligence,Linear programming,Deterministic system,Benchmark (computing),Machine learning | Conference |
ISSN | Citations | PageRank |
1062-922X | 0 | 0.34 |
References | Authors | |
1 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kenta Kohinata | 1 | 0 | 0.34 |
| Takuya Kurihara | 2 | 4 | 1.82 |
| Takuya Shindo | 3 | 33 | 4.95 |
| Kenya Jin'No | 4 | 45 | 12.55 |