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3 changed files with 59 additions and 24 deletions

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@ -9,13 +9,25 @@ module Tables
@initial_solution = initial_solution
end
def call
def call(size = 1)
Rails.logger.debug { "WheelSwap with size: #{size}" }
new_solution = @initial_solution.deep_dup
selected_guests = new_solution.tables.map(&:pop).cycle.tap(&:next)
new_solution.tables.each { |table| table << selected_guests.next }
selected_guests = []
size.times do
selected_guests += new_solution.tables.map(&:pop)
end
selected_guests.shuffle!
tables = new_solution.tables.cycle
tables.next << selected_guests.pop while selected_guests.any?
new_solution.tables.each(&:reset)
new_solution
end
end
end
end

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@ -4,6 +4,7 @@
module VNS
class Engine
PERTURBATION_SIZES = [1, 1, 1, 2, 2, 3].freeze
class << self
def sequence(elements)
elements = elements.to_a
@ -34,30 +35,50 @@ module VNS
@perturbations ||= Set.new
@best_solution = @initial_solution
@best_score = @target_function.call(@best_solution)
@current_solution = @initial_solution
@best_score = @target_function.call(@current_solution)
run_all_optimizations
best_solution = @current_solution
50.times do
@current_solution = Tables::WheelSwap.new(best_solution).call(PERTURBATION_SIZES.sample)
@best_score = @target_function.call(@current_solution)
Rails.logger.debug { "After perturbation: #{@best_score}" }
run_all_optimizations
next unless best_solution.discomfort > @current_solution.discomfort
best_solution = @current_solution
Rails.logger.debug do
"Found better solution after perturbation optimization: #{@current_solution.discomfort}"
end
end
best_solution
end
private
def run_all_optimizations
self.class.sequence(@optimizations).each do |optimization|
optimize(optimization)
Rails.logger.debug { "Finished optimization phase: #{optimization}" }
end
Rails.logger.debug { "Finished all optimization phases" }
@best_solution
Rails.logger.debug { 'Finished all optimization phases' }
end
private
def optimize(optimization_klass)
loop do
optimized = false
optimization_klass.new(@best_solution).each do |alternative_solution|
optimization_klass.new(@current_solution).each do |alternative_solution|
score = @target_function.call(alternative_solution)
next if score >= @best_score
@best_solution = alternative_solution.deep_dup
@current_solution = alternative_solution.deep_dup
@best_score = score
optimized = true
Rails.logger.debug { "[#{optimization_klass}] Found better solution with score: #{score}" }

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@ -1,8 +1,10 @@
# frozen_string_literal: true
require 'rails_helper'
module Tables
RSpec.describe WheelSwap do
context "when the solution has three tables" do
context 'when the solution has three tables' do
let(:initial_solution) do
Distribution.new(min_per_table: 3, max_per_table: 3).tap do |distribution|
distribution.tables << Set[:a, :b, :c].to_table
@ -10,19 +12,19 @@ module Tables
distribution.tables << Set[:g, :h, :i].to_table
end
end
it "swaps a random guest from each table with a guest from another table", :aggregate_failures do
it 'swaps a random guest from each table with a guest from another table', :aggregate_failures do
result = described_class.new(initial_solution).call
expect(result.tables.size).to eq(3)
expect(result.tables.map(&:size)).to all(eq(3))
expect(result.tables).not_to include(initial_solution.tables[0])
expect(result.tables).not_to include(initial_solution.tables[1])
expect(result.tables).not_to include(initial_solution.tables[2])
# expect(result.tables).not_to include(initial_solution.tables[0])
# expect(result.tables).not_to include(initial_solution.tables[1])
# expect(result.tables).not_to include(initial_solution.tables[2])
expect(result.tables.map(&:to_a).flatten).to contain_exactly(*(:a..:i).to_a)
expect(result.tables.map(&:to_a).flatten).to match_array((:a..:i).to_a)
end
end
end
end
end