Adaptive Large Neighborhood Search (ALNS) remains a dominant metaheuristic for vehicle routing, yet the design of its destroy and repair operators relies heavily on manual engineering. Although Neural ...
Abstract: In this paper, a greedy initialization-based genetic algorithm is proposed for unit-norm tight frame sampling design in spherical near-field measurements. Since the optimization criterion ...
Abstract: Smart city traffic management relies increasingly on UAV-assisted edge computing systems to process real-time data and make informed decisions. A critical challenge in these systems is the ...
We propose TraceRL, a trajectory-aware reinforcement learning method for diffusion language models, which demonstrates the best performance among RL approaches for DLMs. We also introduce a ...