def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.randomizer = Randomizer(Random())
selector_configuration = [
EvolutionRandomSelectorConfiguration.create(),
EvolutionRouletteSelectorConfiguration.create()
]
self.configuration = EvolutionConfiguration.create(
selector_configuration, inversion_chance=0, mutation_chance=0, crossover_chance=0)
self.create_rule_population()
self.create_grammar_statistics()
self.create_rule_adding()
self.sut = EvolutionService(self.randomizer)
self.rules = [
Rule(Symbol('S'), Symbol('NP'), Symbol('VP')),
Rule(Symbol('VP'), Symbol('VP'), Symbol('PP')),
Rule(Symbol('VP'), Symbol('V'), Symbol('NP')),
TerminalRule(Symbol('VP'), Symbol('eats')),
Rule(Symbol('PP'), Symbol('P'), Symbol('NP')),
Rule(Symbol('NP'), Symbol('Det'), Symbol('N')),
TerminalRule(Symbol('NP'), Symbol('she')), TerminalRule(Symbol('V'), Symbol('eats')),
TerminalRule(Symbol('P'), Symbol('with')), TerminalRule(Symbol('N'), Symbol('fish')),
TerminalRule(Symbol('N'), Symbol('fork')), TerminalRule(Symbol('Det'), Symbol('a'))
]
def set_parameters(self):
self.configuration.should_run_evolution = True
self.configuration.evolution.selectors = [
EvolutionRouletteSelectorConfiguration.create(),
EvolutionRouletteSelectorConfiguration.create()
]
self.configuration.induction.grammar_correction.should_run = False
self.configuration.induction.coverage.operators.terminal.chance = 1
self.configuration.induction.coverage.operators.universal.chance = 0
self.configuration.induction.coverage.operators.starting.chance = 1
self.configuration.induction.coverage.operators.starting.adding_hint = \
AddingRuleStrategyHint.expand_population
self.configuration.induction.coverage.operators.full.chance = 1
self.configuration.induction.coverage.operators.full.adding_hint = \
AddingRuleStrategyHint.expand_population
self.configuration.max_algorithm_steps = 5000
self.configuration.rule.max_non_terminal_symbols = 19
self.configuration.rule.random_starting_population_size = 30
self.configuration.max_execution_time = 8000
self.configuration.satisfying_fitness = 1
self.configuration.evolution.operators.crossover.chance = 0.2
self.configuration.evolution.operators.mutation.chance = 0.8
self.configuration.evolution.operators.inversion.chance = 0.8
self.configuration.induction.coverage.operators.aggressive.chance = 0
self.configuration.induction.coverage.operators.aggressive.adding_hint = \
AddingRuleStrategyHint.expand_population
self.configuration.rule.adding.crowding.factor = 18
self.configuration.rule.adding.crowding.size = 3
self.configuration.rule.adding.elitism.is_used = True
self.configuration.rule.adding.elitism.size = 3
self.configuration.rule.adding.max_non_terminal_rules = 40
self.configuration.statistics.positive_weight = 1
self.configuration.statistics.negative_weight = 2
self.configuration.statistics.classical_fitness_weight = 1
self.configuration.statistics.fertility_weight = 0
self.configuration.statistics.base_fitness = 0.5
self.configuration.max_algorithm_runs = 50
