Abstract: The traditional heat-load generation pattern of combined heat and power generators has become a problem leading to renewable energy source (RES) power curtailment in cold regions, motivating ...

This research introduces a VSLAM framework that optimizes obstacle avoidance in indoor logistics, leveraging advanced ...

Abstract: Dynamic constrained multi-objective optimization problems are characterized by time-varying objectives, decision variables, and constraints, presenting significant challenges for ...

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...