Name
Abstract | ||
|---|---|---|
In this paper, we present a new algorithm of swarm intelligence, namely, cat Swarm optimization (CSO). CSO is generated by observing the behaviors of cats, and composed of two sub-models, i.e., tracing mode and seeking mode, which model upon the behaviors of cats. Experimental results using six test functions demonstrate that CSO has much better performance than Particle Swarm Optimization (PSO). |
Year | Venue | Field |
|---|---|---|
2006 | PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | Particle swarm optimization,Evolutionary algorithm,Swarm behaviour,Computer science,Swarm intelligence,Multi-swarm optimization,Artificial intelligence,Artificial neural network,Machine learning,Tracing |
DocType | Volume | ISSN |
Conference | 4099 | 0302-9743 |
ISBN | Citations | PageRank |
3-540-36667-9 | 26 | 1.40 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chu Shu-Chuan | 1 | 425 | 53.51 |
| Tsai Pei-wei | 2 | 127 | 15.88 |
| Pan Jeng-Shyang | 3 | 2466 | 269.74 |