Abstract | ||
---|---|---|
Unlike scientific test functions, real world problemsare in general constrained optimization problems.Furthermore, due to undetermined first andsecond order derivatives only direct optimizationmethods can be used to attack these problems.Then, in most cases, constraints are dealt with byuse of so-called penalty functions. An alternateapproach as used by Rechenberg [1] and Schwefel[2] simply discards infeasible test points whilegenerating a new one.This paper presents a synthesis of... |
Year | Venue | Keywords |
---|---|---|
1996 | Evolutionary Programming | penalty function |
Field | DocType | Citations |
Mathematical optimization,Computer science,Augmented Lagrangian method,Penalty method,Constrained optimization | Conference | 36 |
PageRank | References | Authors |
2.41 | 2 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Frank Hoffmeister | 1 | 461 | 163.02 |
Joachim Sprave | 2 | 69 | 10.21 |