from detpy.DETAlgs.base import BaseAlg
from detpy.DETAlgs.data.alg_data import IDEData
from detpy.DETAlgs.methods.methods_de import selection, mutation
from detpy.DETAlgs.methods.methods_ide import ide_get_f, ide_get_cr, ide_binomial_crossing
from detpy.models.enums.boundary_constrain import fix_boundary_constraints
[docs]
class IDE(BaseAlg):
"""
IDE
Links:
https://www.scirp.org/journal/paperinformation?paperid=96749
References:
Ma, J. and Li, H. (2019) Research on Rosenbrock Function Optimization Problem Based on Improved Differential
Evolution Algorithm.
Journal of Computer and Communications, 7, 107-120. doi: 10.4236/jcc.2019.711008.
"""
def __init__(self, params: IDEData, db_conn=None, db_auto_write=False):
super().__init__(IDE.__name__, params, db_conn, db_auto_write)
[docs]
def next_epoch(self):
# Calculate F and CR
f = ide_get_f(self._epoch_number, self.num_of_epochs)
cr_arr = ide_get_cr(self._pop)
# New population after mutation
v_pop = mutation(self._pop, f)
# Apply boundary constrains on population in place
fix_boundary_constraints(v_pop, self.boundary_constraints_fun)
# New population after crossing
u_pop = ide_binomial_crossing(self._pop, v_pop, cr_arr)
# Update values before selection
u_pop.update_fitness_values(self._function.eval, self.parallel_processing)
# Select new population
new_pop = selection(self._pop, u_pop)
# Override data
self._pop = new_pop
self._epoch_number += 1