fixed list issue for optimization space

MDAF/MDAF.py

@@ -375,7 +375,7 @@ if __name__== "__main__":
     #visualize2D('@Easom.py', -10,10)
     #feats = array([representfunc(testfun, True)['ela_meta'] for testfun in testfuns])
     #plotfuncs(['@Bukin2.py','@Bukin6.py'], 'ela_meta')
-    perf = doe('@SimmulatedAnnealing.py', testfuns[0:1],{"t": 1000, "p": 0.95, "objs": 0, "lower": [-10], "upper": [10]},measurementSampleSize=2)
+    perf = doe('@SimmulatedAnnealing.py', testfuns[4:5],{"t": 1000, "p": 0.95, "objs": 0, "lower": [-10], "upper": [10]},measurementSampleSize=2)
 
     #perfs = array([[perf[func][0]['cpuTime'][0], perf[func][0]['numCalls'][0], perf[func][0]['quality'][0], perf[func][0]['convRate'][0]] for func in perf.keys()])
     #features = array(feats)

MDAF/SampleAlgorithms/SimmulatedAnnealing.py

@@ -38,8 +38,8 @@ def main(func, S, args):
     y = args["objs"]
     t = args["t"]
     p = args["p"]
-    high = max([args["upper"]])
-    low = max([args["lower"]])
+    high =  args["upper"] if isinstance(args["upper"], int) else max(args["upper"])
+    low = args["lower"] if isinstance(args["lower"], int) else max(args["lower"])
     
     Best = list()
     Best[:] = cp.deepcopy(S)