Abstract: In practical applications, it is common to have optimization problems that have multiple conflicting objective functions which are computationally expensive or do not have analysis formulas.

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1 School of Systems Engineering, National University of Defense Technology, Changsha, China 2 School of Computer, National University of Defense Technology, Changsha, China Introduction: As person–job ...

Abstract: It is very challenging to autonomously generate algorithms suitable for constrained multiobjective optimization problems due to the diverse performance of existing algorithms. In this ...