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db85580c1f
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a1f06dae5b
@ -9,25 +9,13 @@ module Tables
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@initial_solution = initial_solution
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end
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def call(size = 1)
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Rails.logger.debug { "WheelSwap with size: #{size}" }
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def call
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new_solution = @initial_solution.deep_dup
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selected_guests = []
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size.times do
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selected_guests += new_solution.tables.map(&:pop)
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end
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selected_guests.shuffle!
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tables = new_solution.tables.cycle
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tables.next << selected_guests.pop while selected_guests.any?
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new_solution.tables.each(&:reset)
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selected_guests = new_solution.tables.map(&:pop).cycle.tap(&:next)
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new_solution.tables.each { |table| table << selected_guests.next }
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new_solution
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end
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end
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end
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end
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@ -4,7 +4,6 @@
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module VNS
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class Engine
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PERTURBATION_SIZES = [1, 1, 1, 2, 2, 3].freeze
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class << self
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def sequence(elements)
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elements = elements.to_a
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@ -35,50 +34,30 @@ module VNS
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@perturbations ||= Set.new
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@current_solution = @initial_solution
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@best_score = @target_function.call(@current_solution)
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@best_solution = @initial_solution
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@best_score = @target_function.call(@best_solution)
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run_all_optimizations
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best_solution = @current_solution
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50.times do
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@current_solution = Tables::WheelSwap.new(best_solution).call(PERTURBATION_SIZES.sample)
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@best_score = @target_function.call(@current_solution)
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Rails.logger.debug { "After perturbation: #{@best_score}" }
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run_all_optimizations
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next unless best_solution.discomfort > @current_solution.discomfort
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best_solution = @current_solution
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Rails.logger.debug do
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"Found better solution after perturbation optimization: #{@current_solution.discomfort}"
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end
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end
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best_solution
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end
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private
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def run_all_optimizations
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self.class.sequence(@optimizations).each do |optimization|
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optimize(optimization)
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Rails.logger.debug { "Finished optimization phase: #{optimization}" }
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end
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Rails.logger.debug { 'Finished all optimization phases' }
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Rails.logger.debug { "Finished all optimization phases" }
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@best_solution
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end
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private
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def optimize(optimization_klass)
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loop do
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optimized = false
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optimization_klass.new(@current_solution).each do |alternative_solution|
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optimization_klass.new(@best_solution).each do |alternative_solution|
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score = @target_function.call(alternative_solution)
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next if score >= @best_score
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@current_solution = alternative_solution.deep_dup
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@best_solution = alternative_solution.deep_dup
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@best_score = score
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optimized = true
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Rails.logger.debug { "[#{optimization_klass}] Found better solution with score: #{score}" }
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@ -1,10 +1,8 @@
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# frozen_string_literal: true
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require 'rails_helper'
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module Tables
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RSpec.describe WheelSwap do
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context 'when the solution has three tables' do
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context "when the solution has three tables" do
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let(:initial_solution) do
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Distribution.new(min_per_table: 3, max_per_table: 3).tap do |distribution|
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distribution.tables << Set[:a, :b, :c].to_table
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@ -12,19 +10,19 @@ module Tables
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distribution.tables << Set[:g, :h, :i].to_table
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end
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end
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it 'swaps a random guest from each table with a guest from another table', :aggregate_failures do
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it "swaps a random guest from each table with a guest from another table", :aggregate_failures do
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result = described_class.new(initial_solution).call
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expect(result.tables.size).to eq(3)
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expect(result.tables.map(&:size)).to all(eq(3))
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# expect(result.tables).not_to include(initial_solution.tables[0])
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# expect(result.tables).not_to include(initial_solution.tables[1])
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# expect(result.tables).not_to include(initial_solution.tables[2])
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expect(result.tables).not_to include(initial_solution.tables[0])
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expect(result.tables).not_to include(initial_solution.tables[1])
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expect(result.tables).not_to include(initial_solution.tables[2])
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expect(result.tables.map(&:to_a).flatten).to match_array((:a..:i).to_a)
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expect(result.tables.map(&:to_a).flatten).to contain_exactly(*(:a..:i).to_a)
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end
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end
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end
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end
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end
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