Title :
System design by constraint adaptation and differential evolution
Author_Institution :
Int. Comput. Sci. Inst., Berkeley, CA, USA
fDate :
4/1/1999 12:00:00 AM
Abstract :
A simple optimization procedure for constraint-based problems is described which works with a simplified cost function or even without one. The simplification of the problem formulation makes this method particularly attractive. The new method lends itself to parallel computation and is well suited for constraint satisfaction, constrained optimization, and design centering problems. A further asset is its self-steering property which makes the new method easy to use
Keywords :
CAD; constraint theory; evolutionary computation; operations research; statistics; constrained optimization; constraint adaptation; constraint satisfaction; constraint-based problems; design centering problems; differential evolution; parallel computation; self-steering property; system design; Constraint optimization; Cost function; Design optimization; Filtering theory; Filters; Frequency; Manufacturing processes; Minimization; Process design; Vehicles;
Journal_Title :
Evolutionary Computation, IEEE Transactions on
DOI :
10.1109/4235.752918
