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How to use initialize method of Knapsack Package

Best Knapsack_ruby code snippet using Knapsack.initialize

knapsack3.rb

Source:knapsack3.rb

...33    new(chromosome)34  end35  attr_accessor :score, :fitness36  attr_reader :chromosome37  def initialize(chromosome = nil, chromosome_size = nil)38    if chromosome39      @chromosome = chromosome40    else41      @chromosome = []42      chromosome_size.times { @chromosome << (rand(0..1) == 1) }43    end44  end45  private_class_method :new46  def chromosome_as_list47    list = []48    @chromosome.each_with_index do |gene, index|49      list << Knapsack::ITEMS[index].name if gene50    end51    list.join(', ')52  end53  def >(other)54    return true if other.nil?55    score > other.score56  end57end58class Population < Array59  def initialize(chromosome_size, population_size)60    population_size.times { self << Individual.random(chromosome_size) }61  end62  def best63    self.sort_by{|individual| individual.score}.last64  end65end66class Evaluator67  def initialize(capacity, population)68    @capacity = capacity69    @population = population70  end71  def evaluate72    @population.each {|individual| score(individual) }73    fitness74  end75  private76  def score(individual)77    value = 078    weight = 079    individual.chromosome.each_with_index do |item, index|80      if item81        value += Knapsack::ITEMS[index].value82        weight += Knapsack::ITEMS[index].weight83      end84    end85    if weight > @capacity86      value -= 2 * (weight - @capacity)87      value = 0 if value < 088    end89    individual.score = value90  end91  def fitness92    total = @population.inject(0) {|sum, individual| sum + individual.score }93    size = @population.size94    @population.each do |individual|95      individual.fitness = individual.score.to_f / total * size96    end97  end98end99class GeneticAlgorithm100  def initialize(generations, population, capacity, mutation_rate)101    @generations = generations102    @population = population103    @capacity = capacity104    @mutation_rate = mutation_rate105    @crossover = Crossover.new(Knapsack::ITEMS.size, mutation_rate)106  end107  def run108    best_ever = nil109    @generations.times do |generation|110      Evaluator.new(@capacity, @population).evaluate111      best = @population.best112      best_ever = best if best > best_ever113      display(generation, best_ever)114      next_generation115    end116    display_best_ever(best_ever)117  end118  private119  def display(generation, individual)120    puts "Gen: #{generation} Best score: #{individual.score}"121  end122  def display_best_ever(individual)123    puts "----------------------"124    puts "Best ever"125    puts "----------------------"126    puts "score:      #{individual.score}"127    puts "chromosome: #{individual.chromosome_as_list}"128  end129  def next_generation130    @population.sort_by! {|i| i.score}131    elite = @population.pop(4)132    pool = MatingPool.new(@population)133    population_size = @population.size134    @population.clear135    population_size.times do136      @population << @crossover.two_point(pool.random, pool.random)137    end138    @population.concat elite139  end140end141class MatingPool142  def initialize(population)143    @mating_pool = []144    population.each do |individual|145      integer_part = individual.fitness.to_i146      real_part = individual.fitness - integer_part147      integer_part.times { @mating_pool << individual.dup }148      @mating_pool << individual.dup if rand < real_part149    end150    @size = @mating_pool.size151  end152  def random153    @mating_pool[rand(@size)]154  end155end156class Crossover157  def initialize(chromosome_size, mutation_rate)158    @size = chromosome_size159    @rate = mutation_rate160    @mutator = Mutator.new(@size, @rate)161  end162  def two_point(parent1, parent2)163    child = assemble(parent1, parent2, two_cut_points)164    child = @mutator.mutate(child)165    Individual.from_chromosome(child)166  end167  private168  def two_cut_points169    point1 = cut_point170    point2 = cut_point171    point1, point2 = point2, point1 if point1 > point2172    [point1, point2]173  end174  def cut_point175    rand(@size)176  end177  def assemble(parent1, parent2, points)178    point1, point2 = points179    parent1.chromosome[0...point1] + parent2.chromosome[point1..point2] +180      parent1.chromosome[point2+1..-1]181  end182end183class Mutator184  def initialize(chromosome_size, mutation_rate)185    @size = chromosome_size186    @rate = mutation_rate187  end188  def mutate(chromosome)189    @size.times do |index|190      if rand < @rate191        chromosome[index] = ! chromosome[index]192      end193    end194    chromosome195  end196end197knapsack_capacity = 400198generations = 100...

knapsack2.rb

Source:knapsack2.rb

...33    new(chromosome)34  end35  attr_accessor :score, :fitness36  attr_reader :chromosome37  def initialize(chromosome = nil, chromosome_size = nil)38    if chromosome39      @chromosome = chromosome40    else41      @chromosome = []42      chromosome_size.times { @chromosome << (rand(0..1) == 1) }43    end44  end45  private_class_method :new46  def chromosome_as_list47    list = []48    @chromosome.each_with_index do |gene, index|49      list << Knapsack::ITEMS[index].name if gene50    end51    list.join(', ')52  end53  def >(other)54    return true if other.nil?55    score > other.score56  end57end58class Population < Array59  def initialize(chromosome_size, population_size)60    population_size.times { self << Individual.random(chromosome_size) }61  end62  def best63    self.sort_by{|individual| individual.score}.last64  end65end66class Evaluator67  def initialize(capacity, population)68    @capacity = capacity69    @population = population70  end71  def evaluate72    @population.each {|individual| score(individual) }73    fitness74  end75  private76  def score(individual)77    value = 078    weight = 079    individual.chromosome.each_with_index do |item, index|80      if item81        value += Knapsack::ITEMS[index].value82        weight += Knapsack::ITEMS[index].weight83      end84    end85    if weight > @capacity86      individual.score = 087    else88      individual.score = value89    end90  end91  def fitness92    total = @population.inject(0) {|sum, individual| sum + individual.score }93    size = @population.size94    @population.each do |individual|95      individual.fitness = individual.score.to_f / total * size96    end97  end98end99class GeneticAlgorithm100  def initialize(generations, population, capacity, mutation_rate)101    @generations = generations102    @population = population103    @capacity = capacity104    @mutation_rate = mutation_rate105    @crossover = Crossover.new(Knapsack::ITEMS.size, mutation_rate)106  end107  def run108    best_ever = nil109    @generations.times do |generation|110      Evaluator.new(@capacity, @population).evaluate111      best = @population.best112      best_ever = best if best > best_ever113      display(generation, best)114      next_generation115    end116    display_best_ever(best_ever)117  end118  private119  def display(generation, individual)120    puts "Gen: #{generation} Best score: #{individual.score}"121  end122  def display_best_ever(individual)123    puts "----------------------"124    puts "Best ever"125    puts "----------------------"126    puts "score:      #{individual.score}"127    puts "chromosome: #{individual.chromosome_as_list}"128  end129  def next_generation130    @population.sort_by! {|i| i.score}131    elite = @population.pop(4)132    pool = MatingPool.new(@population)133    population_size = @population.size134    @population.clear135    population_size.times do136      @population << @crossover.two_point(pool.random, pool.random)137    end138    @population.concat elite139  end140end141class MatingPool142  def initialize(population)143    @mating_pool = []144    population.each do |individual|145      integer_part = individual.fitness.to_i146      real_part = individual.fitness - integer_part147      integer_part.times { @mating_pool << individual.dup }148      @mating_pool << individual.dup if rand < real_part149    end150    @size = @mating_pool.size151  end152  def random153    @mating_pool[rand(@size)]154  end155end156class Crossover157  def initialize(chromosome_size, mutation_rate)158    @size = chromosome_size159    @rate = mutation_rate160    @mutator = Mutator.new(@size, @rate)161  end162  def two_point(parent1, parent2)163    child = assemble(parent1, parent2, two_cut_points)164    child = @mutator.mutate(child)165    Individual.from_chromosome(child)166  end167  private168  def two_cut_points169    point1 = cut_point170    point2 = cut_point171    point1, point2 = point2, point1 if point1 > point2172    [point1, point2]173  end174  def cut_point175    rand(@size)176  end177  def assemble(parent1, parent2, points)178    point1, point2 = points179    parent1.chromosome[0...point1] + parent2.chromosome[point1..point2] +180      parent1.chromosome[point2+1..-1]181  end182end183class Mutator184  def initialize(chromosome_size, mutation_rate)185    @size = chromosome_size186    @rate = mutation_rate187  end188  def mutate(chromosome)189    @size.times do |index|190      chromosome[index] = ! chromosome[index] if rand < @rate191    end192    chromosome193  end194end195knapsack_capacity = 400196generations = 100197population = Population.new(Knapsack::ITEMS.size, 1000)198mutation = 0.01...

knapsack.rb

Source:knapsack.rb

...33    new(chromosome)34  end35  attr_accessor :score, :fitness36  attr_reader :chromosome37  def initialize(chromosome = nil, chromosome_size = nil)38    if chromosome39      @chromosome = chromosome40    else41      @chromosome = []42      chromosome_size.times { @chromosome << (rand(0..1) == 1) }43    end44  end45  private_class_method :new46  def chromosome_as_list47    list = []48    @chromosome.each_with_index do |gene, index|49      list << Knapsack::ITEMS[index].name if gene50    end51    list.join(', ')52  end53  def >(other)54    return true if other.nil?55    score > other.score56  end57end58class Population < Array59  def initialize(chromosome_size, population_size)60    population_size.times { self << Individual.random(chromosome_size) }61  end62  def best63    self.sort_by{|individual| individual.score}.last64  end65end66class Evaluator67  def initialize(capacity, population)68    @capacity = capacity69    @population = population70  end71  def evaluate72    @population.each {|individual| score(individual) }73    fitness74  end75  private76  def score(individual)77    value = 078    weight = 079    individual.chromosome.each_with_index do |item, index|80      if item81        value += Knapsack::ITEMS[index].value82        weight += Knapsack::ITEMS[index].weight83      end84    end85    if weight > @capacity86      individual.score = 087    else88      individual.score = value89    end90  end91  def fitness92    total = @population.inject(0) {|sum, individual| sum + individual.score }93    size = @population.size94    @population.each do |individual|95      individual.fitness = individual.score.to_f / total * size96    end97  end98end99class GeneticAlgorithm100  def initialize(generations, population, capacity, mutation_rate)101    @generations = generations102    @population = population103    @capacity = capacity104    @mutation_rate = mutation_rate105    @crossover = Crossover.new(Knapsack::ITEMS.size, mutation_rate)106  end107  def run108    best_ever = nil109    @generations.times do |generation|110      Evaluator.new(@capacity, @population).evaluate111      best = @population.best112      best_ever = best if best > best_ever113      display(generation, best)114      next_generation115    end116    display_best_ever(best_ever)117  end118  private119  def display(generation, individual)120    puts "Gen: #{generation} Best score: #{individual.score}"121  end122  def display_best_ever(individual)123    puts "----------------------"124    puts "Best ever"125    puts "----------------------"126    puts "score:      #{individual.score}"127    puts "chromosome: #{individual.chromosome_as_list}"128  end129  def next_generation130    pool = MatingPool.new(@population)131    population_size = @population.size132    @population.clear133    population_size.times do134      @population << @crossover.two_point(pool.random, pool.random)135    end136  end137end138class MatingPool139  def initialize(population)140    @mating_pool = []141    population.each do |individual|142      integer_part = individual.fitness.to_i143      real_part = individual.fitness - integer_part144      integer_part.times { @mating_pool << individual.dup }145      @mating_pool << individual.dup if rand < real_part146    end147    @size = @mating_pool.size148  end149  def random150    @mating_pool[rand(@size)]151  end152end153class Crossover154  def initialize(chromosome_size, mutation_rate)155    @size = chromosome_size156    @rate = mutation_rate157    @mutator = Mutator.new(@size, @rate)158  end159  def two_point(parent1, parent2)160    child = assemble(parent1, parent2, two_cut_points)161    child = @mutator.mutate(child)162    Individual.from_chromosome(child)163  end164  private165  def two_cut_points166    point1 = cut_point167    point2 = cut_point168    point1, point2 = point2, point1 if point1 > point2169    [point1, point2]170  end171  def cut_point172    rand(@size)173  end174  def assemble(parent1, parent2, points)175    point1, point2 = points176    parent1.chromosome[0...point1] + parent2.chromosome[point1..point2] +177      parent1.chromosome[point2+1..-1]178  end179end180class Mutator181  def initialize(chromosome_size, mutation_rate)182    @size = chromosome_size183    @rate = mutation_rate184  end185  def mutate(chromosome)186    @size.times do |index|187      chromosome[index] = ! chromosome[index] if rand < @rate188    end189    chromosome190  end191end192knapsack_capacity = 400193generations = 100194population = Population.new(Knapsack::ITEMS.size, 1000)195mutation = 0.01...

initialize

Using AI Code Generation

1knapsack = Knapsack.new(5, [1,2,3,4,5], [5,4,3,2,1])2knapsack = Knapsack.new(5, [1,2,3,4,5], [5,4,3,2,1])3knapsack = Knapsack.new(5, [1,2,3,4,5], [5,4,3,2,1])4knapsack = Knapsack.new(5, [1,2,3,4,5], [5,4,3,2,1])5knapsack = Knapsack.new(5, [1,2,3,4,5], [5,4,3,2,1])6knapsack = Knapsack.new(5, [1,2,3,4,5], [5,4,3,2,1])7knapsack = Knapsack.new(5, [1,2,3,4,5], [5,4,3,2,1])8knapsack = Knapsack.new(5, [1,2,3,4,5], [5,4,3,2,1])9knapsack = Knapsack.new(5, [1,2,3,

initialize

Using AI Code Generation

1k = Knapsack.new(50, 6)2k.load_items("items.txt")3k = Knapsack.new(50, 6)4k.load_items("items.txt")5k = Knapsack.new(50, 6)6k.load_items("items.txt")7k = Knapsack.new(50, 6)8k.load_items("items.txt")9k = Knapsack.new(50, 6)10k.load_items("items.txt")11k = Knapsack.new(50, 6)12k.load_items("items.txt")13k = Knapsack.new(50, 6)14k.load_items("items.txt")15k = Knapsack.new(50, 6)16k.load_items("items.txt")17k = Knapsack.new(50, 6)18k.load_items("items.txt")19k = Knapsack.new(50, 6)20k.load_items("items.txt")21k = Knapsack.new(50, 6)22k.load_items("items.txt")

initialize

Using AI Code Generation

1knapsack = Knapsack.new(100, 100, 100)2knapsack = Knapsack.new(100, 100, 100)3knapsack = Knapsack.new(100, 100, 100)4knapsack = Knapsack.new(100, 100, 100)5knapsack = Knapsack.new(100, 100, 100)

initialize

Using AI Code Generation

1 def initialize(capacity)2 def initialize(name)3 def initialize(name)4 def initialize(name)5 def initialize(name)

initialize

Using AI Code Generation

1k = Knapsack.new(50, 6)2k.load_items("items.txt")3k = Knapsack.new(50, 6)4k.load_items("items.txt")5k = Knapsack.new(50, 6)6k.load_items("items.txt")7k = Knapsack.new(50, 6)8k.load_items("items.txt")9k = Knapsack.new(50, 6)10k.load_items("items.txt")11k = Knapsack.new(50, 6)12k.load_items("items.txt")13k = Knapsack.new(50, 6)14k.load_items("items.txt")15k = Knapsack.new(50, 6)16k.load_items("items.txt")17k = Knapsack.new(50, 6)18k.load_items("items.txt")19k = Knapsack.new(50, 6)20k.load_items("items.txt")21k = Knapsack.new(50, 6)22k.load_items("items.txt")

initialize

Using AI Code Generation

1knapsack = Knapsack.new(100, 100, 100)2knapsack = Knapsack.new(100, 100, 100)3knapsack = Knapsack.new(100, 100, 100)4knapsack = Knapsack.new(100, 100, 100)5knapsack = Knapsack.new(100, 100, 100)

initialize

Using AI Code Generation

1 def initialize(capacity)2 def initialize(name)3 def initialize(name)4 def initialize(name)5 def initialize(name)

initialize

Using AI Code Generation

1k = Knapsack.new(50, 6)2k.load_items("items.txt")3k = Knapsack.new(50, 6)4k.load_items("items.txt")5k = Knapsack.new(50, 6)6k.load_items("items.txt")7k = Knapsack.new(50, 6)8k.load_items("items.txt")9k = Knapsack.new(50, 6)10k.load_items("items.txt")11k = Knapsack.new(50, 6)12k.load_items("items.txt")13k = Knapsack.new(50, 6)14k.load_items("items.txt")15k = Knapsack.new(50, 6)16k.load_items("items.txt")17k = Knapsack.new(50, 6)18k.load_items("items.txt")19k = Knapsack.new(50, 6)20k.load_items("items.txt")21k = Knapsack.new(50, 6)22k.load_items("items.txt")

initialize

Using AI Code Generation

1knapsack = Knapsack.new(100, 100, 100)2knapsack = Knapsack.new(100, 100, 100)3knapsack = Knapsack.new(100, 100, 100)4knapsack = Knapsack.new(100, 100, 100)5knapsack = Knapsack.new(100, 100, 100)

initialize

Using AI Code Generation

1 def initialize(capacity)2 def initialize(name)3 def initialize(name)4 def initialize(name)5 def initialize(name)

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