class YAGA::Population(T, V)

• YAGA::Population(T, V)
• Reference
• Object

Defined in:

yaga/population.cr

Constant Summary

MUTATION_PERCENT = 10_u8

PERCENT_RANGE = 1_u8..100_u8

SELECTION_BOTS = 8_u32

SIMULATIONS_HISTORY = 400_u64

TOTAL_BOTS = 64_u32

Constructors

• .new(total_bots : UInt32 = TOTAL_BOTS, selection_bots : UInt32 = SELECTION_BOTS, mutation_percent : UInt8 = MUTATION_PERCENT, crossover_enabled : Bool = true, random : Random = Random::DEFAULT, &)
• .new(total_bots : UInt32 = TOTAL_BOTS, selection_bots : UInt32 = SELECTION_BOTS, mutation_percent : UInt8 = MUTATION_PERCENT, crossover_enabled : Bool = true, random : Random = Random::DEFAULT)

Instance Method Summary

• #after_evolution(&block : UInt64 -> Void) : Void
• #after_simulation(&block : UInt64, Bool -> Void) : Void
• #after_training(&block : UInt64, V, UInt64 -> Void) : Void
• #before_evolution(&block : UInt64 -> Void) : Void
• #before_simulation(&block : UInt64, Bool -> Void) : Void
• #before_training(&block : UInt64, V, UInt64 -> Void) : Void
• #bots
• #crossover : Void

  Crossover specific amount of bots with best selection

• #evolve!(native : Bool = false) : Void

  Usually it is not needed to call this method explicitly But there are no restrictions about that Do not use argument native, it is only for internal usage Or selection will not be collected

• #finalize_evolution : Void

  Reset lask part of bots to prevent stagnation

• #fitness_history
• #generation
• #generation=(generation : UInt64)
• #mutate : Void

  Mutate specific amount of bots out of selection

• #selection
• #selection_bots
• #simulate_each(&block : Bot(T, V), UInt64 -> Void) : Void
• #simulate_world(&block : Array(Bot(T, V)), UInt64 -> Void) : Void
• #total_bots
• #train_each(goal : V, generation_cap : UInt64 = 10000_u64, &block : Bot(T, V), UInt64 -> V) : UInt64
• #train_world(goal : V, generation_cap : UInt64 = 10000_u64, &block : Array(Bot(T, V)), UInt64 -> Void) : UInt64

Constructor Detail

Instance Method Detail