Data update

Task/Evolutionary-algorithm/Lua/evolutionary-algorithm.lua

@@ -3,37 +3,37 @@ local alphabet = "ABCDEFGHIJKLMNOPQRSTUVWXYZ "
 local c, p = 100, 0.06
 
 local function fitness(s)
-	local score = #target
-	for i = 1,#target do
-		if s:sub(i,i) == target:sub(i,i) then score = score - 1 end
-	end
-	return score
+    local score = #target
+    for i = 1,#target do
+        if s:sub(i,i) == target:sub(i,i) then score = score - 1 end
+    end
+    return score
 end
 
 local function mutate(s, rate)
-	local result, idx = ""
-	for i = 1,#s do
-		if math.random() < rate then
-			idx = math.random(#alphabet)
-			result = result .. alphabet:sub(idx,idx)
-		else
-			result = result .. s:sub(i,i)
-		end
-	end
-	return result, fitness(result)
+    local result, idx = ""
+    for i = 1,#s do
+        if math.random() < rate then
+            idx = math.random(#alphabet)
+            result = result .. alphabet:sub(idx,idx)
+        else
+            result = result .. s:sub(i,i)
+        end
+    end
+    return result, fitness(result)
 end
 
 local function randomString(len)
-	local result, idx = ""
-	for i = 1,len do
-		idx = math.random(#alphabet)
-		result = result .. alphabet:sub(idx,idx)
-	end
-	return result
+    local result, idx = ""
+    for i = 1,len do
+        idx = math.random(#alphabet)
+        result = result .. alphabet:sub(idx,idx)
+    end
+    return result
 end
 
 local function printStep(step, s, fit)
-	print(string.format("%04d: ", step) .. s .. " [" .. fit .."]")
+    print(string.format("%04d: ", step) .. s .. " [" .. fit .."]")
 end
 
 math.randomseed(os.time())
@@ -42,11 +42,11 @@ printStep(0, parent, fitness(parent))
 
 local step = 0
 while parent ~= target do
-	local bestFitness, bestChild, child, fitness = #target + 1
-	for i = 1,c do
-		child, fitness = mutate(parent, p)
-		if fitness < bestFitness then bestFitness, bestChild = fitness, child end
-	end
-	parent, step = bestChild, step + 1
-	printStep(step, parent, bestFitness)
+    local bestFitness, bestChild, child, fitness = #target + 1
+    for i = 1,c do
+        child, fitness = mutate(parent, p)
+        if fitness < bestFitness then bestFitness, bestChild = fitness, child end
+    end
+    parent, step = bestChild, step + 1
+    printStep(step, parent, bestFitness)
 end