def __str__(self):
return 'Competitive' + Coevolution.__str__(self)
def _oneGeneration(self):
Coevolution._oneGeneration(self)
# change roles between parasites and hosts
tmp = self.pop
self.pop = self.parasitePop
self.parasitePop = tmp
def _oneGeneration(self):
Coevolution._oneGeneration(self)
# change the main pop
self.pops[self.mainpop] = self.pop
self.mainpop = self.generation % self.numPops
self.pop = self.pops[self.mainpop]
def _stepsPerGeneration(self):
if self.tournamentSize == None:
return 2 * self.populationSize** 2
else:
return Coevolution._stepsPerGeneration(self)
def _oneGeneration(self):
Coevolution._oneGeneration(self)
# change roles between parasites and hosts
tmp = self.pop
self.pop = self.parasitePop
self.parasitePop = tmp
def __str__(self):
return 'MultiPop'+str(self.numPops)+Coevolution.__str__(self)
def __str__(self):
return 'Competitive' + Coevolution.__str__(self)
def _stepsPerGeneration(self):
if self.tournamentSize == None:
return 2 * self.populationSize**2
else:
return Coevolution._stepsPerGeneration(self)
def _oneGeneration(self):
Coevolution._oneGeneration(self)
# change the main pop
self.pops[self.mainpop] = self.pop
self.mainpop = self.generation % self.numPops
self.pop = self.pops[self.mainpop]
def __str__(self):
return 'MultiPop' + str(self.numPops) + Coevolution.__str__(self)
def run():
plotter = Plotter(show_avgs=True, plot_elites=False)
fig_1 = 1
fig_2 = 1
fig_3 = 1
fig_4 = 1
fig_5 = 1
extension = 1
use_fixed_seed = 1
enable_hof = 0
enable_virulence = 0
generations = 600
export_folder = "../report/plots/"
generator_a = Generator(100, 1)
generator_b = Generator(10, 10)
generator_c = Generator(50, 2)
mutator = Mutator(mutation_rate=0.005, bit_flip=False)
selector = FitnessProportionateSelection()
n = 25
if enable_hof:
hof = HOF(scorer=Scorer(sample_size=10), size=50)
else:
hof = None
# Wrap selector with virulence handling
if enable_virulence:
selector = VirulenceSelector(selector, 0.75, normalise=True)
if fig_1:
seed = seed_random(0, use_fixed_seed)
description = "Figure 1 : [Seed {}]".format(seed)
print(description)
pop_a = generator_a.population(n, 0)
pop_b = generator_a.population(n, 100)
executor = Coevolution(scorer=F0Scorer(), selector=selector)
executor.run(pop_a, pop_b, generations)
plotter.make_plot(
executor,
fig_name=description,
export_path=os.path.join(export_folder, "fig1.png"),
)
if fig_2:
seed = seed_random(1, use_fixed_seed)
description = "Figure 2 : [Seed {}]".format(seed)
print(description)
pop_a = generator_a.population(n, 0)
pop_b = generator_a.population(n, 0)
executor = Coevolution(mutator=mutator, hof=hof, selector=selector)
executor.run(pop_a, pop_b, generations)
plotter.make_plot(
executor,
fig_name=description,
export_path=os.path.join(export_folder, "fig2.png"),
)
if fig_3:
seed = seed_random(8486058433753192762, use_fixed_seed)
description = "Figure 3 : [Seed {}]".format(seed)
print(description)
pop_a = generator_a.population(n, 0)
pop_b = generator_a.population(n, 0)
executor = Coevolution(
mutator=mutator, scorer=Scorer(sample_size=1), hof=hof, selector=selector
)
executor.run(pop_a, pop_b, generations)
plotter.make_plot(
executor,
fig_name=description,
export_path=os.path.join(export_folder, "fig3.png"),
)
if fig_4:
seed = seed_random(59759543964706904, use_fixed_seed)
description = "Figure 4 : [Seed {}]".format(seed)
print(description)
pop_a = generator_b.population(n, 0)
pop_b = generator_b.population(n, 0)
executor = Coevolution(mutator=mutator, hof=hof, selector=selector)
executor.run(pop_a, pop_b, generations)
plotter.make_plot(
executor,
fig_name=description,
export_path=os.path.join(export_folder, "fig4.png"),
)
if fig_5:
seed = seed_random(5706501168717675099, use_fixed_seed)
description = "Figure 5 : [Seed {}]".format(seed)
print(description)
pop_a = generator_c.population(n, 0)
pop_b = generator_c.population(n, 0)
executor = Coevolution(
mutator=mutator,
scorer=Scorer(intransitive=True),
hof=hof,
selector=selector,
)
executor.run(pop_a, pop_b, generations)
plotter.make_plot(
executor,
fig_name=description,
export_path=os.path.join(export_folder, "fig5.png"),
)
if extension:
hof = HOF(scorer=Scorer(sample_size=10), size=50)
generations = 1200
fp_selector = FitnessProportionateSelection()
sus_selector = StochasticUniversalSampling()
t_selector = TournamentSelection(3)
ext_cfgs = []
ext_cfgs += [
(
"Virulence [0.5]",
"fig_5_v0.5.png",
VirulenceSelector(fp_selector, 0.5),
False,
)
]
ext_cfgs += [
(
"Virulence [0.75]",
"fig_5_v0.75.png",
VirulenceSelector(fp_selector, 0.75),
False,
)
]
ext_cfgs += [
(
"Virulence [0.75] + SUS",
"fig_5_v0.75_sus.png",
VirulenceSelector(sus_selector, 0.75),
False,
)
]
ext_cfgs += [
(
"Virulence [0.75] + TS",
"fig_5_v0.75_ts.png",
VirulenceSelector(t_selector, 0.75),
False,
)
]
ext_cfgs += [
(
"Virulence [0.75] + SUS + HOF",
"fig_5_v0.75_sus_hof.png",
VirulenceSelector(sus_selector, 0.75),
True,
)
]
ext_cfgs += [
(
"Virulence [0.75] + HOF",
"fig_5_v0.75_hof.png",
VirulenceSelector(fp_selector, 0.75),
True,
)
]
ext_cfgs += [("HOF", "fig_5_hof.png", fp_selector, True)]
for (cfg_txt, export_name, selector, use_hof) in ext_cfgs:
seed = seed_random(8985012493578745191, use_fixed_seed)
description = "Figure 5 - {} : [Seed {}]".format(cfg_txt, seed)
print(description)
pop_a = generator_c.population(n, 0)
pop_b = generator_c.population(n, 0)
executor = Coevolution(
mutator=mutator,
scorer=Scorer(intransitive=True),
selector=selector,
hof=hof if use_hof else None,
)
executor.run(pop_a, pop_b, generations)
plotter.make_plot(
executor,
fig_name=description,
export_path=os.path.join(export_folder, export_name),
)
