Name
Abstract | ||
|---|---|---|
Abstract: The successful application of particle swarm optimization (PSO) to various real-valued problems motivates to develop some integer-coded versions of PSO for working directly with integer and discrete variables of a problem. However, in most of such works, actually a real-valued solution is just converted into a desired integer-valued solution by applying some posterior decoding mechanisms, while some problem-specific integer-coded versions of PSO are proposed in others. In this article, a novel version of PSO of general form is proposed, which can work directly with real, integer and discrete variables of a problem without any conversion. Quite satisfactory performance is obtained by applying the proposed PSO to some classical mechanical design problems of different nature. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.asoc.2011.01.034 | Appl. Soft Comput. |
Keywords | Field | DocType |
integer-coded version,discrete variable,general form,real-valued solution,integer-valued solution,proposed pso,integer variable,classical mechanical design problem,problem-specific integer-coded version,various real-valued problems motivates,real variable,real-integer-discrete-coded particle swarm optimization,different nature,binary-coded particle swarm optimization | Integer,Particle swarm optimization,Mechanical design,Mathematical optimization,Algorithm,Multi-swarm optimization,Decoding methods,Discrete variable,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 4 | Applied Soft Computing Journal |
Citations | PageRank | References |
12 | 0.72 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dilip Datta | 1 | 106 | 9.36 |
| José Rui Figueira | 2 | 852 | 59.84 |