This paper proposes the Spatio-Temporal Crowdedness Inference Model (STC...
The large-scale multiobjective optimization problem (LSMOP) is character...
We define very large multi-objective optimization problems to be
multiob...
Recently, evolutionary multitasking (EMT) has been successfully used in ...
Large-scale multiobjective optimization problems (LSMOPs) refer to
optim...
Lane change for autonomous vehicles (AVs) is an important but challengin...
The main feature of large-scale multi-objective optimization problems (L...
Real-world multiobjective optimization problems usually involve conflict...
Large-scale multiobjective optimization problems (LSMOPs) are characteri...
Robot gait optimization is the task of generating an optimal control
tra...
Transfer learning techniques have been widely used in the reality that i...
Dynamic multi-objective optimization problems (DMOPs) remain a challenge...
The main feature of the Dynamic Multi-objective Optimization Problems (D...
Dynamic Multi-objective Optimization Problems (DMOPs) refer to optimizat...
Face detection and recognition benchmarks have shifted toward more diffi...
One of the major distinguishing features of the dynamic multiobjective
o...