StarPSO package

Subpackages

• Benchmarks package
  • Submodules
  • star_pso.benchmarks.composite_functions module
    • BASIC_FUNCTIONS
    • CompositeFunction
      • CompositeFunction.compute_weights()
      • CompositeFunction.func()
      • CompositeFunction.search_for_optima()
    • f_ackley()
    • f_griewank()
    • f_rastrigin()
    • f_sphere()
    • f_weierstrass()
  • star_pso.benchmarks.equal_maxima module
    • EqualMaxima
      • EqualMaxima.func()
      • EqualMaxima.search_for_optima()
  • star_pso.benchmarks.five_uneven_peak_trap module
    • FiveUnevenPeakTrap
      • FiveUnevenPeakTrap.func()
      • FiveUnevenPeakTrap.search_for_optima()
  • star_pso.benchmarks.gaussian_mixture module
    • GaussianMixture
      • GaussianMixture.MVN
      • GaussianMixture.func()
      • GaussianMixture.search_for_optima()
  • star_pso.benchmarks.himmelblau module
    • Himmelblau
      • Himmelblau.func()
      • Himmelblau.search_for_optima()
  • star_pso.benchmarks.rastrigin module
    • Rastrigin
      • Rastrigin.func()
      • Rastrigin.search_for_optima()
  • star_pso.benchmarks.shubert module
    • Shubert
      • Shubert.func()
      • Shubert.search_for_optima()
  • star_pso.benchmarks.vincent module
    • Vincent
      • Vincent.func()
      • Vincent.search_for_optima()
  • star_pso.benchmarks.six_hump_camel_back module
    • SixHumpCamelBack
      • SixHumpCamelBack.func()
      • SixHumpCamelBack.search_for_optima()
  • star_pso.benchmarks.test_function module
    • TestFunction
      • TestFunction.func()
      • TestFunction.n_dim
      • TestFunction.name
      • TestFunction.rng
      • TestFunction.sample_random_positions()
      • TestFunction.search_for_optima()
      • TestFunction.set_seed()
      • TestFunction.x_max
      • TestFunction.x_min
  • star_pso.benchmarks.uneven_decreasing_maxima module
    • UnevenDecreasingMaxima
      • UnevenDecreasingMaxima.func()
      • UnevenDecreasingMaxima.search_for_optima()
  • Module contents
• Engines
  • Submodules
  • star_pso.engines.binary_pso module
    • BinaryPSO
      • BinaryPSO.calculate_spread()
      • BinaryPSO.generate_random_positions()
      • BinaryPSO.reset_all()
      • BinaryPSO.update_positions()
      • BinaryPSO.update_velocities()
    • fast_logistic()
  • star_pso.engines.quantum_pso module
    • QuantumPSO
      • QuantumPSO.calculate_spread()
      • QuantumPSO.generate_random_positions()
      • QuantumPSO.reset_all()
      • QuantumPSO.update_positions()
      • QuantumPSO.update_velocities()
  • star_pso.engines.bare_bones_pso module
    • BareBonesPSO
      • BareBonesPSO.calculate_spread()
      • BareBonesPSO.generate_random_positions()
      • BareBonesPSO.reset_all()
      • BareBonesPSO.update_positions()
      • BareBonesPSO.update_velocities()
  • star_pso.engines.categorical_pso module
    • CategoricalPSO
      • CategoricalPSO.calculate_spread()
      • CategoricalPSO.generate_random_positions()
      • CategoricalPSO.generate_uniform_velocities()
      • CategoricalPSO.reset_all()
      • CategoricalPSO.sample_categorical_values()
      • CategoricalPSO.sample_permutation_values()
      • CategoricalPSO.size_of_sets
      • CategoricalPSO.update_positions()
      • CategoricalPSO.update_velocities()
    • fast_sum()
  • star_pso.engines.generic_pso module
    • GenericPSO
      • GenericPSO.MAX_CPUs
      • GenericPSO.NUMPY_EPS
      • GenericPSO.adapt_velocity_parameters()
      • GenericPSO.calculate_spread()
      • GenericPSO.clear_all()
      • GenericPSO.disable_parameters_update()
      • GenericPSO.enable_parameters_update()
      • GenericPSO.evaluate_function()
      • GenericPSO.f_evals
      • GenericPSO.fully_informed()
      • GenericPSO.generate_random_positions()
      • GenericPSO.get_local_best_positions()
      • GenericPSO.get_optimal_values()
      • GenericPSO.items
      • GenericPSO.iteration
      • GenericPSO.lower_bound
      • GenericPSO.n_cols
      • GenericPSO.n_cpus
      • GenericPSO.n_rows
      • GenericPSO.neighborhood_best()
      • GenericPSO.reset_all()
      • GenericPSO.rng
      • GenericPSO.run()
      • GenericPSO.set_seed()
      • GenericPSO.stats
      • GenericPSO.swarm
      • GenericPSO.update_positions()
      • GenericPSO.update_velocities()
      • GenericPSO.upper_bound
      • GenericPSO.velocities
  • star_pso.engines.integer_pso module
    • IntegerPSO
      • IntegerPSO.calculate_spread()
      • IntegerPSO.generate_random_positions()
      • IntegerPSO.reset_all()
      • IntegerPSO.update_positions()
  • star_pso.engines.jack_of_all_trades_pso module
    • JackOfAllTradesPSO
      • JackOfAllTradesPSO.calculate_spread()
      • JackOfAllTradesPSO.generate_random_positions()
      • JackOfAllTradesPSO.generate_uniform_velocities()
      • JackOfAllTradesPSO.reset_all()
      • JackOfAllTradesPSO.sample_categorical_values()
      • JackOfAllTradesPSO.sample_permutation_values()
      • JackOfAllTradesPSO.update_positions()
      • JackOfAllTradesPSO.update_velocities()
  • star_pso.engines.standard_pso module
    • StandardPSO
      • StandardPSO.calculate_spread()
      • StandardPSO.generate_random_positions()
      • StandardPSO.reset_all()
      • StandardPSO.update_positions()
  • Module contents
• Population package
  • Submodules
  • star_pso.population.jat_particle module
    • JatParticle
      • JatParticle.best_position
      • JatParticle.best_value
      • JatParticle.container
      • JatParticle.position
      • JatParticle.reset_position()
      • JatParticle.size
      • JatParticle.value
  • star_pso.population.particle module
    • Particle
      • Particle.best_position
      • Particle.best_value
      • Particle.position
      • Particle.size
      • Particle.value
  • star_pso.population.swarm module
    • Swarm
      • Swarm.best_n()
      • Swarm.best_particle()
      • Swarm.best_positions_as_array()
      • Swarm.function_values()
      • Swarm.global_best_index
      • Swarm.has_categorical
      • Swarm.population
      • Swarm.position_at()
      • Swarm.positions_as_array()
      • Swarm.positions_as_list()
      • Swarm.set_positions()
      • Swarm.size
      • Swarm.update_local_best()
      • Swarm.value_at()
  • Module contents
• Utils
  • Submodules
  • star_pso.utils.auxiliary module
    • BlockType
      • BlockType.BINARY
      • BlockType.CATEGORICAL
      • BlockType.FLOAT
      • BlockType.INTEGER
    • SpecialMode
      • SpecialMode.CATEGORICAL
      • SpecialMode.JACK_OF_ALL_TRADES
      • SpecialMode.NORMAL
    • check_velocity_parameters()
    • cost_function()
    • identify_global_optima()
    • kl_divergence_array()
    • kl_divergence_item()
    • linear_rank_probabilities()
    • nb_cdist()
    • nb_centroid()
    • nb_clip_array()
    • nb_clip_inplace()
    • nb_clip_item()
    • nb_median_euclidean_distance()
    • nb_median_hamming_distance()
    • nb_median_kl_divergence()
    • nb_median_taxicab_distance()
    • pareto_front()
    • spread_methods
    • time_it()
  • star_pso.utils.data_block module
    • DataBlock
      • DataBlock.best_position
      • DataBlock.block_t
      • DataBlock.init_binary()
      • DataBlock.init_categorical()
      • DataBlock.init_float()
      • DataBlock.init_integer()
      • DataBlock.init_methods()
      • DataBlock.position
      • DataBlock.reset_position()
      • DataBlock.rng
      • DataBlock.set_seed()
      • DataBlock.upd_binary()
      • DataBlock.upd_categorical()
      • DataBlock.upd_float()
      • DataBlock.upd_integer()
      • DataBlock.update_methods()
      • DataBlock.valid_set
  • Module contents
    • ScalarOrArray
    • VOptions
      • VOptions.c1
      • VOptions.c2
      • VOptions.mode
      • VOptions.w0

Module contents