def __init__(self,
problem,
population,
MAXGEN=None,
MAXTIME=None,
MAXEVALS=None,
MAXSIZE=None,
logTras=None,
verbose=None,
outFunc=None,
drawing=None,
trappedValue=None,
maxTrappedCount=None,
dirName=None,
**kwargs):
# 先调用父类构造方法
super().__init__(problem, population, MAXGEN, MAXTIME, MAXEVALS,
MAXSIZE, logTras, verbose, outFunc, drawing,
trappedValue, maxTrappedCount, dirName)
if population.ChromNum != 1:
raise RuntimeError('传入的种群对象必须是单染色体的种群类型。')
self.name = 'DE/target-to-best/1/bin'
self.k = 0.5 # target-to-best中的参数k
if population.Encoding == 'RI':
self.mutOper = ea.Mutde(F=[self.k, 0.5]) # 生成差分变异算子对象
self.recOper = ea.Xovexp(XOVR=0.5,
Half_N=True) # 生成指数交叉算子对象，这里的XOVR即为DE中的Cr
else:
raise RuntimeError('编码方式必须为' 'RI' '.')
def __init__(self, problem, population):
ea.SoeaAlgorithm.__init__(self, problem, population) # 先调用父类构造方法
if population.ChromNum != 1:
raise RuntimeError('传入的种群对象必须是单染色体的种群类型。')
self.name = 'DE/current-to-best/1/L'
if population.Encoding == 'RI':
self.mutOper = ea.Mutde(F=0.5) # 生成差分变异算子对象
self.recOper = ea.Xovexp(XOVR=0.5,
Half=True) # 生成指数交叉算子对象，这里的XOVR即为DE中的Cr
else:
raise RuntimeError('编码方式必须为' 'RI' '.')
def __init__(self, problem, population):
ea.SoeaAlgorithm.__init__(self, problem, population) # 先调用父类构造方法
if str(type(population)) != "<class 'Population.Population'>":
raise RuntimeError('传入的种群对象必须为Population类型')
self.name = 'DE/rand/1/bin'
if population.Encoding == 'RI':
self.mutOper = ea.Mutde(F = 0.5) # 生成差分变异算子对象
self.recOper = ea.Xovexp(XOVR = 0.5, Half = True) # 生成指数交叉算子对象，这里的XOVR即为DE中的Cr
else:
raise RuntimeError('编码方式必须为''RI''.')
self.k = 0.5 # target-to-best中的参数k
def __init__(self, problem, population):
ea.SoeaAlgorithm.__init__(self, problem, population) # 先调用父类构造方法
if str(type(population)) != "<class 'Population.Population'>":
raise RuntimeError('传入的种群对象必须为Population类型')
self.name = 'DE_rand_1_L'
self.selFunc = 'rws' # 基向量的选择方式，采用轮盘赌选择
if population.Encoding == 'RI':
self.mutOper = ea.Mutde(F=0.5) # 生成差分变异算子对象
self.recOper = ea.Xovexp(XOVR=0.5,
Half=True) # 生成指数交叉算子对象，这里的XOVR即为DE中的Cr
else:
raise RuntimeError('编码方式必须为' 'RI' '.')
def __init__(self, problem, population):
ea.SoeaAlgorithm.__init__(self, problem, population) # 先调用父类构造方法
if population.ChromNum != 1:
raise RuntimeError('传入的种群对象必须是单染色体的种群类型。')
self.name = 'DE/rand/1/L'
self.selFunc = 'rcs' # 基向量的选择方式，采用随机补偿选择
if population.Encoding == 'RI':
self.mutOper = ea.Mutde(F=0.5) # 生成差分变异算子对象
self.recOper = ea.Xovexp(XOVR=0.5,
Half_N=True) # 生成指数交叉算子对象，这里的XOVR即为DE中的Cr
else:
raise RuntimeError('编码方式必须为' 'RI' '.')
