Changeset 1166 for trunk/packages/optimizer/examples

Timestamp:

Sep 27, 2008 1:58:13 AM (16 years ago)

Author:

liveletlive

Message:

Changes Made: Vanilla restart added, no modifications can be made to existing parameters in the middle of a run. Only mutation creates a new population on restart.
New configuration options added: MutationandCrossover? option. amount to be mutated made configurable. configration for (not)allowing duplicate strings added. app-qdot and simple modified to keep pace with these changes.

Location:

trunk/packages/optimizer/examples

Files:

• app-qdot.tcl (modified) (1 diff)
• simple.tcl (modified) (3 diffs)

trunk/packages/optimizer/examples/app-qdot.tcl

@@ -24 +24 @@
 set popsize 100  ;# size of each population for genetic algorithm
 
+set xml_path [lindex $argv 0]
+puts $xml_path
+
+
 # ----------------------------------------------------------------------
 #  Create a Tool object based on the tool.xml file...
 # ----------------------------------------------------------------------
 Rappture::getopts argv params {
-    value -tool tool.xml
+     value -tool tool.xml
 }
 
+after 2000
+puts $params(-tool)
+after 2000
 #blt::bltdebug 100
 

trunk/packages/optimizer/examples/simple.tcl

@@ -23 +23 @@
 set auto_path [linsert $auto_path 0 /home/ganesh/workspace/optim_post_dir_changes/src/lib]
 package require -exact RapptureOptimizer 1.1
-set popsize 100  ;# size of each population for genetic algorithm
+
 
 # ----------------------------------------------------------------------
@@ -64 +64 @@
 button .quit -text Quit -command "optim abort yes"
 pack .quit
+button .restart -text Restart -command "optim restart yes"
+pack .restart
+
 set colors {magenta purple blue DeepSkyBlue cyan green yellow Gold orange tomato red FireBrick black}
 
@@ -97 +100 @@
 Rappture::optimizer optim -tool $tool -using pgapack
 
-optim add number input.number(x1) -min -2 -max 2 -randdist gaussian -stddev 0.7 -mean 1 -mutnrate 0.01 -strictmin yes -strictmax yes
-optim add number input.number(x2) -min -2 -max 2 -randdist gaussian -stddev 0.5 -mean 1 -mutnrate 0.01 -strictmin yes -strictmax yes
-#optim configure -operation minimize -popsize 50 -maxruns 100 -mutnrate 0.01 -crossovrate 0.9 -randnumseed 24 -stpcriteria toosimilar
+optim add number input.number(x1) -min -2 -max 2 -randdist uniform -strictmin yes -strictmax yes
+optim add number input.number(x2) -min -2 -max 2 -randdist uniform -strictmin yes -strictmax yes
+optim configure -operation minimize -popsize 200 -maxruns 100 -mutnrate 0.5 -crossovrate 0.8 -randnumseed 20 -stpcriteria toosimilar -mutnandcrossover no -allowdup no -numReplPerPop 50 -mutnValue 0.1
+optim get configure 
 
-optim get configure 
+set popsize 200  ;# size of each population for genetic algorithm
 
 set status [optim perform \