Recently, Professor Liang Jing’s team from the School of Electrical and Information Engineering of Zhengzhou University has made a series of important new progress in the fields of constrained multi-objective evolutionary and optimization research. The relevant results were published in the top international journalsIEEE Transactions on Evolutionary ComputationandIEEE Transactions on Cyberneticsrespectively. Zhengzhou University is the first author and correspondence unit.

Based on the framework of the constrained multi-objective optimization in the light of evolutionary multitasking theory proposed by the team before, a new algorithm is designed from two aspects:

First, from the perspective of designing more efficient auxiliary tasks, an evolutionary multi-task optimization framework based on dynamic auxiliary tasks is proposed. The article titled “Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multi-objective Optimization” was published in the journalIEEE Transactions on Evolutionary Computation. Qiao Kangjia, a 2021 doctoral student, is the first author of the paper, and Professor Liang Jing is the Corresponding Author of the paper.

Second, from the perspective of designing a more effective knowledge transfer strategy, a constrained multi-objective evolutionary algorithm using constrained and unconstrained Pareto frontier relations is proposed. An article entitled “Utilizing the Relationship between Unconstrained and Constrained Pareto Fronts for Constrained Multi-Objective Optimization” was published in the journalIEEE Transactions on Cybernetics. Professor Liang Jing is the first author of the paper, and doctoral student Qiao Kangjia is the second author. Associate Professor Yu Kunjie is the corresponding author of the paper.

Meanwhile, based on the team’s in-depth research on constrained multi-objective evolutionary optimization and existing achievements, the team reviewed the related work in the fields of constrained multi-objective evolutionary and optimization. An article titled “A Survey on Evolutionary Constrained Multi-objective Optimization” was published in the journalIEEE Transactions on Evolutionary Computation. Professor Liang Jing is the first author of the paper, graduate student Ban Xuanxuan is the second author, and Associate Professor Yu Kunjie is the corresponding author of the paper.

The above research has been funded by the National Natural Science Foundation of China, the National Postdoctoral Fund, and the Henan Provincial University Innovative Talent Project.