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增加了HSMO整线优化方法，读取数据增加了供料器部分

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hit-lu
2025-08-10 16:58:42 +08:00
parent 045f2f394d
commit 4fd5560650
17 changed files with 1765 additions and 352 deletions
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29
base_optimizer/optimizer_interface.py
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@@ -15,26 +15,22 @@ def base_optimizer(machine_index, pcb_data, component_data, feeder_data, params,
if params.machine_optimizer == 'cell-division': # 基于元胞分裂的遗传算法
component_result, cycle_result, feeder_slot_result = optimizer_celldivision(pcb_data, component_data)
placement_result, head_sequence = greedy_placement_route_generation(component_data, pcb_data, component_result,
cycle_result, feeder_slot_result)
placement_result, head_sequence = place_allocate_sequence_route_generation(component_data, pcb_data,
component_result, cycle_result,
feeder_slot_result)
elif params.machine_optimizer == 'feeder-priority': # 基于基座扫描的供料器优先算法
component_result, cycle_result, feeder_slot_result = feeder_priority_assignment(component_data, pcb_data,
feeder_data)
placement_result, head_sequence = greedy_placement_route_generation(component_data, pcb_data, component_result,
cycle_result, feeder_slot_result)
# placement_result, head_sequence = beam_search_route_generation(component_data, pcb_data, component_result,
# cycle_result, feeder_slot_result)
# placement_result, head_sequence = scan_based_placement_route_generation(component_data, pcb_data,
# component_result, cycle_result,
# feeder_slot_result)
placement_result, head_sequence = scan_based_placement_route_generation(component_data, pcb_data,
component_result, cycle_result,
feeder_slot_result)
elif params.machine_optimizer == 'hybrid-genetic': # 基于拾取组的混合遗传算法
component_result, cycle_result, feeder_slot_result, placement_result, head_sequence = optimizer_hybrid_genetic(
pcb_data, component_data, hinter=hinter)
elif params.machine_optimizer == 'aggregation': # 基于batch-level的整数规划 + 启发式算法
component_result, cycle_result, feeder_slot_result, placement_result, head_sequence = optimizer_aggregation(
component_data, pcb_data)
component_data, pcb_data, hinter=hinter)
elif params.machine_optimizer == 'genetic-scanning':
component_result, cycle_result, feeder_slot_result, placement_result, head_sequence = optimizer_genetic_scanning(
component_data, pcb_data, hinter=hinter)
@@ -43,15 +39,16 @@ def base_optimizer(machine_index, pcb_data, component_data, feeder_data, params,
component_data, pcb_data, hinter=hinter)
elif params.machine_optimizer == "two-phase":
component_result, feeder_slot_result, cycle_result = gurobi_optimizer(pcb_data, component_data, feeder_data,
initial=True, partition=True,
initial=True, partition=False,
reduction=True, hinter=hinter)
placement_result, head_sequence = greedy_placement_route_generation(component_data, pcb_data, component_result,
cycle_result, feeder_slot_result)
placement_result, head_sequence = place_allocate_sequence_route_generation(component_data, pcb_data,
component_result, cycle_result,
feeder_slot_result)
else:
raise 'machine optimizer method ' + params.method + ' is not existed'
print('----- Placement machine ' + str(machine_index) + ' ----- ')
# print('----- Placement machine ' + str(machine_index) + ' ----- ')
opt_res = OptResult(component_result, cycle_result, feeder_slot_result, placement_result, head_sequence)
# 估算贴装用时
info = placement_info_evaluation(component_data, pcb_data, opt_res, hinter=False)
@@ -67,4 +64,6 @@ def base_optimizer(machine_index, pcb_data, component_data, feeder_data, params,
f'result/{params.filename[:-4]}-{params.line_optimizer}-M0{machine_index} {params.save_suffix}',
component_data, pcb_data, opt_res)
# output_optimize_result(f'{params.filename[:-4]}', component_data, pcb_data, opt_res)
return info