No, CMAE, PSO and most other non-exhaustive methods are best for continuous parameter spaces. Discrete spaces where adjacent param values result in wild changes in fitness tend to be very difficult to optimize in "intelligent" manner.
Best regards, Tomasz Janeczko amibroker.com ----- Original Message ----- From: "Steve Davis" <[EMAIL PROTECTED]> To: <[email protected]> Sent: Wednesday, October 01, 2008 1:19 AM Subject: [amibroker] CMAE behavior when optimizing control parameters? > Does anyone know if the CMAE algorithm can be used effectively to > optimize a system containing control parameters? By this I mean > optimizable parameters that do not measure a quantity, but are instead > used to control the flow of execution of the program. In this sort of > system, adjacent parameter values could result in wildly different > system fitness. > > Thanks, > Steve > > > > ------------------------------------ > > **** IMPORTANT **** > This group is for the discussion between users only. > This is *NOT* technical support channel. > > ********************* > TO GET TECHNICAL SUPPORT from AmiBroker please send an e-mail directly to > SUPPORT {at} amibroker.com > ********************* > > For NEW RELEASE ANNOUNCEMENTS and other news always check DEVLOG: > http://www.amibroker.com/devlog/ > > For other support material please check also: > http://www.amibroker.com/support.html > > ********************************* > Yahoo! Groups Links > > >
