On August 26, 2025, Financial界 reported that the Shenzhen Institute of Artificial Intelligence and Robotics and Shenzhen ...

Dynamic constrained multi-objective optimization problems (DCMOPs) involve complex changes in objective functions and constraints over time. These changes challenge most existing algorithms to quickly ...

The performance of the proposed hybrid algorithm is verified using standard test functions and it is applied to the multi-objective optimal designs of TEAM22 benchmark problem and topology ...

A multi-objective optimization model for the distribution network is established with a time step of 24 h a day. Furthermore, it is also considered for the integration of load and energy storage into ...

The solutions of MOO techniques were all the same as individual optimization and given in 2 nd and 3 rd row of X i. The values of multi-objective function Z av and Z sen were not exactly the same for ...