4 papers
REMS: a unified solution representation, problem modeling and metaheuristic algorithm design for general combinatorial optimization problems
Aijuan Song, Guohua Wu
Combinatorial optimization problems (COPs) with discrete variables and finite search space are critical across numerous fields, and solving them in metaheuristic algorithms is popu…
Close-enough general routing problem for multiple unmanned aerial vehicles in monitoring missions
Huan Liu, Michel Gendreau, Binjie Xu +2
In this paper, we introduce a close-enough multi-UAV general routing problem (CEMUAVGRP) where a fleet of homogeneous UAVs conduct monitoring tasks containing nodes, each of which…
Generalizable Collaborative Search-and-Capture in Cluttered Environments via Path-Guided MAPPO and Directional Frontier Allocation
Jialin Ying, Zhihao Li, Zicheng Dong +2
Collaborative pursuit-evasion in cluttered environments presents significant challenges due to sparse rewards and constrained Fields of View (FOV). Standard Multi-Agent Reinforceme…
Improving After-sales Service: Deep Reinforcement Learning for Dynamic Time Slot Assignment with Commitments and Customer Preferences
Xiao Mao, Albert H. Schrotenboer, Guohua Wu +1
Problem definition: For original equipment manufacturers (OEMs), high-tech maintenance is a strategic component in after-sales services, involving close coordination between custom…