finale Version: Readme für Dr. Gaggl, Reqs ergänzt (kp ob notwendig), weiss als Farbe im Plot ausschliessen, main um simanneal-params ergaenzt

src/Generator/generator.py

@@ -38,8 +38,8 @@ def accept(solution):
     Maybe skip this during the first step to generate a more
     random solution.
     """
-    #return tighten(solution)
-    return solution
+    return tighten(solution)
+    #return solution
 
 
 def tighten(solution):

src/Output/output.py

@@ -11,7 +11,9 @@ def create_plot(problem, solution):
 
     with plt.xkcd():
         fig,ax = plt.subplots()
-        colorlist = list(colors.XKCD_COLORS.values())
+        col = colors.XKCD_COLORS
+        del col['xkcd:white']
+        colorlist = list(col.values())
         random.shuffle(colorlist)
         for m in range(0, problem.machines):
             mach_ops = [ x for x in solution if problem.problem_data[x[1][0]][x[1][1]][1] == m ]

src/example.py

@@ -1,10 +1,10 @@
-#import Parser.js1_style as p
-import Parser.js2_style as p
+import Parser.js1_style as p
+#import Parser.js2_style as p
 from SchedulingAlgorithms import simanneal as sim
 from Output import output as o
 
-#problem = p.parse_file("../inputdata/jobshop1.txt")[0]
-problem = p.parse_file("../inputdata/sample")
+problem = p.parse_file("../inputdata/jobshop1.txt")[0]
+#problem = p.parse_file("../inputdata/sample")
 sim.init(problem)
 solution = sim.anneal()
 o.create_plot(problem, solution)

src/main.py

@@ -13,6 +13,9 @@ Command line options:
     -p      activate pretty output (requires tkinter)
     -l      assume that a file contains multiple problems, default is only 1
     -i      index of the problem you want solved. has no effect without l
+    -t      set parameter max_temp of simulated annealing
+    -s      set parameter max_steps of simulated annealing
+    -a      set parameter accept_prob of simulated annealing
 
 Invocation:
     python [-hlp] file
@@ -24,8 +27,8 @@ def main():
     js1 = False
     plot = False
     try:
-        opts, args = getopt.getopt(sys.argv[1:], 'hpli:')
-    except getoptGetoptError as err:
+        opts, args = getopt.getopt(sys.argv[1:], 'hpli:t:s:a:')
+    except getopt.GetoptError as err:
         print(err)
         sys.exit()
     if ('-h', '') in opts:
@@ -38,6 +41,12 @@ def main():
         js1 = True
     idx = [int(x[1]) for x in opts if x[0]=='-i']   
     idx = idx[0] if idx else -1
+    max_temp = [int(x[1]) for x in opts if x[0]=='-t']   
+    max_temp = max_temp[0] if max_temp else -1
+    max_steps = [int(x[1]) for x in opts if x[0]=='-s']   
+    max_steps = max_steps[0] if max_steps else -1
+    accept_prob = [int(x[1]) for x in opts if x[0]=='-a']   
+    accept_prob = accept_prob[0] if accept_prob else -1
     if not args:
         print("No file given.")
         sys.exit()            
@@ -56,7 +65,28 @@ def main():
         problem = problem[idx]
     print(problem)
     sim.init(problem)
-    solution = sim.anneal()
+    if not max_temp == -1:
+        if not max_steps == -1:
+            if not accept_prob == -1:
+                solution = sim.anneal(max_temp, max_steps, accept_prob)
+            else:
+                solution = sim.anneal(max_temp = max_temp, max_steps = max_steps)
+        else:
+            if not accept_prob == -1:
+                solution = sim.anneal(max_temp = max_temp, accept_prob = accept_prob)
+            else:
+                solution = sim.anneal(max_temp = max_temp)
+    else:
+        if not max_steps == -1:
+            if not accept_prob == -1:
+                solution = sim.anneal(max_steps = max_steps, accept_prob = accept_prob)
+            else:
+                solution = sim.anneal(max_steps = max_steps)
+        else:
+            if not accept_prob == -1:
+                solution = sim.anneal(accept_prob = accept_prob)
+            else:
+                solution = sim.anneal()
     print(solution)
     print(sim.rate(solution))
     if plot: