Research on multi-objective optimization and simulation to HFSSP hybrid flow-shop scheduling problem for energy saving

摘要

To the production scheduling optimization for high energy consumption process,making energy consumption as objective function is relatively less.Using the combinational optimization method of system modeling simulation and improved genetic algorithm,it studies the multi--objective optimization including the least energy cost and shortest maximal flow time to HFSSP(hybrid flow shop scheduling problem).Finally the application example is introduced to verify the feasibility of the method.The proposed method may provide guidance for the enterprise to save energy.