Evolutionary algorithms (EA), a class of stochastic search methods based on the principles
of natural evolution, have received widespread acclaim for their exceptional performance in …

In this paper, we address the problem of dispatching multiple automated guided vehicles
(AGVs) in an actual production workshop, aiming to minimize the transportation cost. To …

The evolution of satellite surveillance technology, coupled with advanced on-board
intelligent systems and improved attitude maneuver capabilities, has positioned mission …

Traditional heuristic optimization algorithms are no longer applicable to the multiple
satellites scheduling with large-scale tasks, as they are unable to provide satisfactory …

In a multi-sensor positioning system (MSPS), the layout of sensors plays a crucial role in
determining the system's performance. Therefore, addressing the sensor layout problem …

The evolution of satellite surveillance technology, bolstered by advanced onboard intelligent
systems and enhanced attitude maneuver capabilities, has thrust mission scheduling and …

The reduction of carbon emissions in the manufacturing industry holds significant
importance in achieving the national” double carbon” target. Ensuring energy efficiency is a …

To fully harness the burgeoning array of in-orbit satellite resources and augment the efficacy
of dynamic surveillance of densely clustered terrestrial targets, this paper delineates the …

Super-agile satellites with dynamic imaging capabilities can significantly improve the
imaging efficiency of space-borne Earth observation. However, the image modulation …

Ant colony optimization (ACO) algorithm is widely used in the instant delivery order
scheduling because of its distributed computing capability. However, the order delivery …