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Abstract: Deterministic processing time are no longer applicable under realistic circumstances because of the uncertainties involved in manufacturing and production processes. The present study aims ...
Abstract: In this study, we propose an efficient optimization algorithm that is a hybrid of the iterated greedy and simulated annealing algorithms (hereinafter, referred to as IGSA) to solve the ...
Introduction The main issue related to the duty schedule is to allocate medical staff to each medical department by considering personnel skills and personal vocation preferences. However, how to ...
'''=====Solving flow shop scheduling problem by gentic algorithm in python=====''' #pt_tmp=pd.read_excel("20x5_flowshop.xlsx",sheet_name="S1",index_col =[0]) pt_tmp ...
Multi-objective scheduling problems in workshops are commonly encountered challenges in the increasingly competitive market economy. These scheduling problems require a trade-off among multiple ...
Why high-salary jobs with long, inflexible hours exacerbate the gender pay gap — and what to do about it. by Gretchen Gavett Long, inflexible work hours are often the norm in high-pressure, ...
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