Name
Abstract | ||
|---|---|---|
The successful application of the real-coded differential evolution (DE) to a wide range of real-valued problems has motivated researchers to investigate its potentiality to integer and discrete valued problems. In most of such works, a real-valued solution is converted into a desired integer-valued solution by applying some posterior decoding mechanisms. Only a limited number of works are found, in which attempts are made for developing an actual integer-coded DE. In this article, such a DE is presented which can work directly with real, integer and discrete variables of a problem without any conversion. In the computational experiments carried out with a set of test problems taken from literature, the DE improved several previously known best solutions, as well as outperformed some similar proposals in most of the cases. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.asoc.2013.05.001 | Appl. Soft Comput. |
Keywords | Field | DocType |
real-coded differential evolution,posterior decoding mechanism,best solution,real-valued solution,integer-valued solution,discrete variable,actual integer-coded de,computational experiment,real-valued problem,real-integer-discrete-coded differential evolution,limited number,differential evolution | Integer,Mathematical optimization,Differential evolution,Decoding methods,Discrete variable,Mathematics | Journal |
Volume | Issue | ISSN |
13 | 9 | 1568-4946 |
Citations | PageRank | References |
7 | 0.50 | 21 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dilip Datta | 1 | 106 | 9.36 |
| José Rui Figueira | 2 | 852 | 59.84 |