Xiaomeng Ma
6 Papers
Xiaomeng Ma is an academic researcher. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 1, co-authored 2 publications.
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Papers
Multi-Objective Home Health Care Routing and Scheduling With Sharing Service via a Problem-Specific Knowledge-Based Artificial Bee Colony Algorithm
Yaping Fu,Xiaomeng Ma,Kaizhou Gao,Zhiwu Li,HongYu Dong +4 more
TL;DR: This work addresses a service resource routing and scheduling problem with sharing strategy among multiple HHC centers for given customers and proposes a multi-objective artificial bee colony algorithm with problem-specific knowledge (MABC-PK) for solving the concerned problem.
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A Multi-Objective Scheduling and Routing Problem for Home Health Care Services via Brain Storm Optimization
TL;DR: In this article , a brain storm optimization method with particular multi-objective search mechanisms (MOBSO) was proposed to solve the home health care scheduling and routing problem (HHCSRP) considering several care centers, where patients and the elderly require being assigned to care centers.
A knowledge-based multi-objective evolutionary algorithm for solving home health care routing and scheduling problems with multiple centers
TL;DR: In this article , a knowledge-based multi-objective evolutionary algorithm is designed by employing two local search operators with the properties of the problem, and the proposed algorithm significantly outperforms its rivals, and it can be considered as an excellent approach for solving the problem.
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Multi-Objective Migrating Birds Optimization for Solving Stochastic Home Health Care Routing and Scheduling Problems Considering Caregiver Working Time Constraints
Yaping Fu,Xiaomeng Ma,Kaizhou Gao,Hongfeng Wang,Ali Sadollah,L.Y. Chen +5 more
TL;DR: This study proposes a multi-objective migrating birds optimization algorithm for stochastic home health care routing and scheduling problems, considering caregiver working time constraints and uncertainties, and demonstrates its better performance compared to peers through numerical experiments.
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