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To reduce energy consumption (EC) in the wastewater treatment process (WWTP) for achieving energy conservation and emission reduction, multi-objective evolutionary algorithm (MOEA) applied in WWTP needs to have better convergence and diversity. In this paper, a non-dominated sorting genetic algorithm III based on utopian point improvement (NSGAIII-UP) is proposed, which overcomes the disadvantage that multi-objective evolutionary algorithm based on utopian point decomposition (MOEA/D-UP) cannot handle the multi-segment discontinuous Pareto front (PF) problem well. By comparing the proposed NSGAIII-UP with 8 advanced algorithms by 2 metrics on 22 benchmark functions, the effectiveness of the proposed algorithm in dealing with the complex PF problems is proved. Moreover, a multivariable model predictive controller (MMPC) is used to control the dissolved oxygen and nitrate nitrogen concentrations in WWTP, in which NSGAIII-UP is applied to the upper EC optimization of WWTP. The simulation results show that compared with the closed-loop control, the EC in the WWTP is reduced by 7.395 %, and the lowest EC is achieved compared with the other 8 algorithms. It helps to reduce energy waste in WWTP and promotes ecological sustainability. The source code of NSGAIII-UP is publicly available at https://github.com/sut16/NSGAIII-UP. [ABSTRACT FROM AUTHOR]