Improved HLO Method for Multi-objective Flow-shop Scheduling Problem
Multi-objective flow-shop scheduling problem is a sub problem of production scheduling problem.It is one of the discrete problems of NP-hard optimization and has strong theoretical and actual purpose.In the modern production and manufacturing process,single-objective optimization can't meet the growing industrial demand,so the research on the scheduling problem of multi-objective flow-shop is particularly important.This paper designs a multi-objective evolutionary al-gorithm based on the HLO to solve this problem.It was implemented by MATLAB and simulation on a kind of benchmark functions.The experimental results show that the proposed algorithm has a better optimization performance than the NSGA-Ⅱ.
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