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Experiment.jl

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+import ExcelReaders
+import DataFrames
+
+data = ExcelReaders.readxlsheet("./data/nutrional_information_5917.xlsx", "Sheet2", skipstartrows=1)
+header = ExcelReaders.readxlsheet("./data/nutrional_information_5917.xlsx", "Sheet2", nrows=1)
+
+# Convert to symbols to build header row.
+for i = 1:length(header)
+    tmp = header[i]
+    tmp = Symbol(tmp)
+    header[i] = tmp
+end
+header = dropdims(reshape(header, :, 1), dims=2)
+
+df = DataFrames.DataFrame()
+
+# Finally, construct our dataframe
+for i = 1:length(header)
+    df[header[i]] = data[2:end, i]
+end
+
+function breeder(parent)
+end
+
+function fitness(candidate)
+end
+
+function search(candidates)
+    # Truncation selection, top 3 as parents.
+    # First, check everyone's fitness.  
+    # Then, generate new solutions by selecting parents and breeding
+    sort!(candidates, by = x -> fitness(x))
+    parents = candidates[1:3]
+end
+
+search(generateCandidatePool())