Journal Article10.1016/j.asoc.2023.110491
A knowledge-based multi-objective evolutionary algorithm for solving home health care routing and scheduling problems with multiple centers
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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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About: This article is published in Applied Soft Computing. The article was published on 01 Sep 2023. The article focuses on the topics: Computer science & Tardiness.
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Citations
Scheduling stochastic distributed flexible job shops using an multi-objective evolutionary algorithm with simulation evaluation
Yaping Fu,Kaizhou Gao,Ling Wang,Min Huang,Yun-Chia Liang,Hongyu Dong +5 more
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Integrated Scheduling of Multi-Constraint Open Shop and Vehicle Routing: Mathematical Model and Learning-Driven Brain Storm Optimization Algorithm
Yaping Fu,Yifeng Wang,Kaizhou Gao,Ponnuthurai Nagaratnam Suganthan,Min Huang +4 more
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Pareto and decomposition based approaches for the multi-objective home health care routing and scheduling problem with lunch breaks
TL;DR: This paper proposes a mixed integer linear programming model and two multi-objective evolutionary algorithms, Pareto and decomposition based, to solve the multi-objective home health care routing and scheduling problem with lunch breaks, considering multiple constraints and objectives.
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A Modified Metaheuristic Algorithm for a Home Health Care Routing Problem with Health Team Skill Levels
Selami Somar,Burak Urazel,Yeliz Buruk Şahin +2 more
TL;DR: A modified metaheuristic algorithm, GASA-MPA, is proposed to optimize Home Health Care Routing Problem with Health Team Skill Levels, minimizing travel costs and balancing constraints, outperforming traditional evolutionary algorithms and classical methods in terms of efficiency and solution quality.
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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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References
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MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
Qingfu Zhang,Hui Li +1 more
TL;DR: Experimental results have demonstrated that MOEA/D with simple decomposition methods outperforms or performs similarly to MOGLS and NSGA-II on multiobjective 0-1 knapsack problems and continuous multiobjectives optimization problems.
The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance
TL;DR: The use of ranks to avoid the assumption of normality implicit in the analysis of variance has been studied in this article, where the use of rank to avoid normality is discussed.
A hybrid genetic algorithm with adaptive diversity management for a large class of vehicle routing problems with time-windows
TL;DR: The paper presents an efficient Hybrid Genetic Search with Advanced Diversity Control for a large class of time-constrained vehicle routing problems, introducing several new features to manage the temporal dimension.
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