99 lines
3.3 KiB
Python
99 lines
3.3 KiB
Python
# 数据结构定义
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class OrderData:
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"""订单数据类"""
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def __init__(self):
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self.I = 5 # 物料种类数
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self.Q = [250, 300, 200, 350, 280] # 各物料待生产量
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self.Dd = 12 # 需求交货期（时长）
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self.P0 = [50.0, 80.0, 60.0, 70.0, 90.0] # 风险企业单位采购价
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self.T0 = [5.0, 8.0, 6.0, 7.0, 9.0] # 风险企业单位运输成本
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self.transport_speed = 10.0 # 运输速度（单位/时间）
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class RiskEnterpriseData:
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"""风险企业数据类（单物料产能约束+总产能约束）"""
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def __init__(self):
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self.I = 5 # 物料种类数（与订单一致）
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self.C0_i_std = [40.0, 50.0, 35.0, 45.0, 48.0] # 单物料单位时间标准产能
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self.C0_total_max = 100.0 # 总产能上限
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self.distance = 10.0 # 位置距离
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class SupplierData:
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"""供应商数据类（按约束文档定义）"""
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def __init__(self, I=5):
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self.I = I
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self.supplier_count = 4
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self.names = ["S0", "S1", "S2", "S3"]
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# 能否生产某物料矩阵 (supplier_count × I)
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self.can_produce = [
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[1, 1, 1, 1, 1],
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[1, 0, 1, 0, 1],
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[0, 1, 0, 1, 0],
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[0, 0, 1, 1, 1]
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]
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# 单物料单位时间标准生产能力
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self.Cj_i_std = [
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[20.0, 18.0, 15.0, 22.0, 25.0],
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[25.0, 0.0, 30.0, 0.0, 28.0],
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[0.0, 22.0, 0.0, 35.0, 0.0],
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[0.0, 0.0, 20.0, 30.0, 22.0]
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]
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# 供应商单位时间最大总生产能力
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self.Cj_total_max = [120.0, 110.0, 100.0, 95.0]
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# 最小起订量
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self.MinOrder = [
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[20.0, 20.0, 15.0, 25.0, 20.0],
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[30.0, 0.0, 25.0, 0.0, 30.0],
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[0.0, 25.0, 0.0, 30.0, 0.0],
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[0.0, 0.0, 20.0, 35.0, 25.0]
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]
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# 最大供应量
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self.MaxOrder = [
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[100.0, 150.0, 80.0, 120.0, 130.0],
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[120.0, 0.0, 100.0, 0.0, 110.0],
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[0.0, 140.0, 0.0, 150.0, 0.0],
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[0.0, 0.0, 90.0, 130.0, 100.0]
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]
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# 单位采购价格
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self.P_ij = [
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[60.0, 85.0, 70.0, 80.0, 100.0],
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[65.0, 0.0, 75.0, 0.0, 105.0],
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[0.0, 90.0, 0.0, 85.0, 0.0],
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[0.0, 0.0, 78.0, 88.0, 98.0]
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]
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# 单位运输成本
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self.T_ij = [
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[7.0, 9.0, 8.0, 10.0, 12.0],
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[6.0, 0.0, 9.0, 0.0, 11.0],
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[0.0, 10.0, 0.0, 12.0, 0.0],
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[0.0, 0.0, 10.0, 13.0, 14.0]
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]
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# 供应商位置距离
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self.distance = [45.0, 35.0, 60.0, 50.0]
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class Config:
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"""算法参数配置类"""
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def __init__(self):
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# 种群参数
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self.pop_size = 50
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self.N1_ratio = 0.2 # 变更成本最小种群比例
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self.N2_ratio = 0.2 # 交付延期最短种群比例
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self.N3_ratio = 0.3 # 基于风险企业种群比例
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self.N4_ratio = 0.3 # 随机种群比例
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# 遗传操作参数
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self.crossover_prob = 0.8
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self.mutation_prob = 0.3
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self.max_generations = 100
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# 惩罚系数
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self.delta = 1.3 # 变更惩罚系数
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self.gamma = 0.8 # 提前交付惩罚系数
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# 早停参数
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self.early_stop_patience = 50
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# 目标函数数量
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self.objective_num = 2 |