Fireworks Algorithm
Example:
from bejoor.swarm_based import FireworksAlgorithm
import math
def rosenbrock_function(sol):
return sum(100 * (sol[i+1] - sol[i]**2)**2 + (sol[i] - 1)**2 for i in range(len(sol) - 1))
solution_vector = [{"type": "float", "lower_bound": -5, "upper_bound": 10}] * 7
fwa = FireworksAlgorithm(objective_function=rosenbrock_function, solution_vector_size=7,
solution_vector=solution_vector, optimization_side="min",
explosion_strength=60, sparks_per_firework=40, population_size=300, epochs=50)
fwa.run()
print(f'Best Global Objective Value: {fwa.global_best_objective_value}')
print(f'Best Global Solution: {fwa.global_best_solution}')
Parameters:
-
objective_function
: Objective function needs to be optimized.
-
solution_vector_size
: Vector size of the candidate solutions.
-
solution_vector
: A vector which determines the types of each variable in solution vectors.
-
optimization_side
: Determines maximize or minimize the objective function.
-
target_objective_value
: Target Objective value.
-
target_objective_lower_bound
: Target Objective lower bound.
-
target_objective_upper_bound
: Target Objective upper bound.
-
population_size
: Number of individuals in the population.
-
epochs
: Number of generations to run the algorithm.
-
explosion_strength
: Strength of the explosion, determining the distance sparks travel.
-
sparks_per_firework
: Number of sparks generated by each firework.