316 lines
12 KiB
Plaintext
316 lines
12 KiB
Plaintext
{
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin\n",
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"│ df[!, col_ind] = v\n",
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"│ df\n",
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"│ end` instead.\n",
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"│ caller = top-level scope at Experiment.jl:25 [inlined]\n",
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"└ @ Core /home/jake/project/beef-o-bradys-state-space-search/Experiment.jl:25\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"main (generic function with 1 method)"
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]
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},
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"include(\"Experiment.jl\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"4"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"POPSIZE = 6\n",
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"mu = 2\n",
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"lambda = 4\n",
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"TARGETCALORIES = 2500\n",
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"CANDIDATESIZE = 4"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.\n",
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"│ caller = fitness(::DataFrames.DataFrame) at Experiment.jl:67\n",
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"└ @ Main /home/jake/project/beef-o-bradys-state-space-search/Experiment.jl:67\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"Dict{Integer,Float64} with 11 entries:\n",
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" 2 => 20.0\n",
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" 11 => 20.0\n",
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" 7 => 20.0\n",
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" 9 => 20.0\n",
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" 10 => 20.0\n",
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" 8 => 20.0\n",
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" 6 => 20.0\n",
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" 4 => 20.0\n",
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" 3 => 20.0\n",
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" 5 => 20.0\n",
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" 1 => 50.0"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"main(10)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"OrderedCollections.OrderedDict{Integer,Float64} with 21 entries:\n",
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" 1 => 150.0\n",
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" 2 => 150.0\n",
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" 3 => 150.0\n",
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" 4 => 10.0\n",
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" 5 => 10.0\n",
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" 6 => 10.0\n",
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" 7 => 10.0\n",
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" 8 => 10.0\n",
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" 9 => 10.0\n",
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" 10 => 10.0\n",
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" 11 => 10.0\n",
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" 12 => 10.0\n",
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" 13 => 10.0\n",
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" 14 => 0.0\n",
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" 15 => 0.0\n",
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" 16 => 0.0\n",
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" 17 => 0.0\n",
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" 18 => 0.0\n",
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" 19 => 0.0\n",
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" 20 => 0.0\n",
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" 21 => 0.0"
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]
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},
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"execution_count": 13,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"using Plots\n",
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"res = main(20)\n",
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"res = sort(res)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Results\n",
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"Shown by tweaking the parameters of popsize, mu, lambda, targetcalories, and candidatesize.\n",
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"\n",
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"## Gadfly\n",
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"Julia plotting library based on Grammar of Graphics."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {},
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"outputs": [
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}
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],
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"source": [
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"plot(collect(keys(res)), collect(values(res)))\n",
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"xlabel!()"
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]
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},
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