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增加reconfig方法

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hit_lu
2023-09-13 20:29:09 +08:00
parent afde7a853e
commit 800057e000
5 changed files with 368 additions and 12 deletions
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4
optimizer_genetic.py
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@ -249,7 +249,7 @@ def assemblyline_optimizer_genetic(pcb_data, component_data):
# population size: 200
# the number of generation: 500
crossover_rate, mutation_rate = 0.8, 0.1
population_size, n_generations = 500, 500
population_size, n_generations = 200, 500
# the number of placement points, the number of available feeders, and nozzle type of component respectively
component_points, component_feeders, component_nozzle = defaultdict(int), defaultdict(int), defaultdict(str)
@ -264,7 +264,6 @@ def assemblyline_optimizer_genetic(pcb_data, component_data):
component_points = sorted(component_points.items(), key=lambda x: x[0]) # 决定染色体排列顺序
# population initialization
best_popval = []
population = selective_initialization(component_points, component_feeders, population_size)
with tqdm(total=n_generations) as pbar:
pbar.set_description('genetic algorithm process for PCB assembly line balance')
@ -277,7 +276,6 @@ def assemblyline_optimizer_genetic(pcb_data, component_data):
val, assigned_points = cal_individual_val(component_points, component_nozzle, individual)
pop_val.append(max(val))
best_popval.append(min(pop_val))
select_index = get_top_k_value(pop_val, population_size - len(new_population), reverse=False)
population = [population[idx] for idx in select_index]
pop_val = [pop_val[idx] for idx in select_index]