Name
Abstract | ||
|---|---|---|
. This paper introduces a new EVOlution Strategy for scalaroptimization with LInear and NOnlinear Constraints (EVOSLINOC)which is robust to obtain a good approximation of a feasible global minimum.EVOSLINOC is based on the new concept of C-, F - and N -fitnessallowing systematically to handle constraints and (in)feasible individuals.In addition a number of ideas for using (in)feasible niche individualswhich enable to explore new feasible areas and to make the populationquickly to evolve... |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1007/3-540-62868-1_130 | Fuzzy Days |
Keywords | Field | DocType |
scalar optimization,evolution strategies,evolution strategy | Population,Mathematical optimization,Nonlinear system,Natural evolution strategy,Computer science,Scalar (physics),Evolution strategy,CMA-ES,Optimization problem | Conference |
Volume | ISSN | ISBN |
1226 | 0302-9743 | 3-540-62868-1 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| To Thanh Binh | 1 | 0 | 0.34 |
| Ulrich Korn | 2 | 0 | 0.34 |