Article
Mathematics
Lamiaa Dahite, Abdeslam Kadrani, Rachid Benmansour, Rym Nesrine Guibadj, Cyril Fonlupt
Summary: This paper addresses the problem faced by maintenance service providers in performing maintenance activities on geographically distributed machines. It proposes a new bi-objective mathematical model and algorithms to determine the optimal maintenance and routing plan simultaneously. The efficiency of the approach is demonstrated through experiments.
Article
Computer Science, Interdisciplinary Applications
Timo Hintsch
Summary: The paper introduces a large multiple neighborhood search algorithm for the SoftCluVRP, utilizing various cluster destroy and repair operators and two post optimization components. Computational experiments demonstrate that the algorithm outperforms existing heuristic approaches and provides 130 new best solutions for medium-sized instances.
COMPUTERS & OPERATIONS RESEARCH
(2021)
Article
Economics
Mir Ehsan Hesam Sadati, Bulent Catay
Summary: The Multi-Depot Green Vehicle Routing Problem extends the well-known GVRP and proposes new neighborhood structures to effectively solve the problem. Evaluation using literature dataset shows high performance of the method in providing high quality solutions in short computation times.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Engineering, Industrial
Andres Arias Londono, Walter Gil Gonzalez, Oscar Danilo Montoya Giraldo, John Wilmer Escobar
Summary: This study addresses the Multi-depot Vehicle Routing Problem with two conflicting objectives: minimizing vehicle travel distance and minimizing the standard deviation of route length. The authors propose a methodology involving a weighted average objective function and a Variable Neighborhood Search algorithm within a Chu-Beasley Genetic Algorithm to solve the problem. The approach is tested in large-size instances and yields noticeable results for managerial insights.
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING COMPUTATIONS
(2024)
Article
Computer Science, Information Systems
Xiaohui Li, Peifan Li, Yi Zhao, Lu Zhang, Yuan Dong
Summary: This paper focuses on a modified Multi-Depot Unmanned Aerial Vehicle Routing Problem (MMDUAVRP) aiming to minimize the number of UAVs and total distance traveled by all UAVs. A heuristic-assignment based hybrid large neighborhood search (HLNS) algorithm is proposed and experiments show that it provides better solutions within a relatively shorter period of time. Sensitivity analysis on the location of depots and task points is also conducted to study their impact on the total cost of the solution.
Article
Computer Science, Interdisciplinary Applications
Xin Wang, Yijing Liang, Xiaoyang Wei, Ek Peng Chew
Summary: Seaports are crucial for connecting inland and maritime transportation, and tugboats play a vital role in providing enough power and ensuring safety for container ships when entering and leaving seaports. Thus, scheduling tugboats in seaport management is essential to facilitate the cost-effective movement of container ships. This paper investigates the tugboat scheduling problem considering multiple services at multiple waypoints to optimize the utilization of limited tugboats. An efficient adaptive large neighborhood search algorithm with a feasibility check procedure is proposed and validated through computational experiments, providing valuable managerial insights based on sensitivity analysis.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Economics
Dorian Dumez, Fabien Lehuede, Olivier Peton
Summary: This article proposes a solution for last mile delivery with multiple delivery options, successfully addressing specific cases of vehicle routing problems through large neighborhood search and specific operators.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Green & Sustainable Science & Technology
Muyang Wen, Wei Sun, Yang Yu, Jiafu Tang, Kaku Ikou
Summary: This paper proposes an improved adaptive large neighborhood search (ALNS) algorithm to efficiently solve the multi-depot green vehicle routing problem. The algorithm utilizes problem-specific destroy and repair operators to optimize the route planning process and improve computational efficiency and accuracy.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Computer Science, Artificial Intelligence
Samuel Nucamendi-Guillen, Alejandra Gomez Padilla, Elias Olivares-Benitez, J. Marcos Moreno-Vega
Summary: This paper introduces the multi-depot open location routing problem (MD-OLRP) and proposes an intelligent metaheuristic to solve it, achieving high-quality solutions and saving the company 30.86% in costs.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Management
Erdi Dasdemir, Guldal Guleryuz, Murat Caner Testik, Diclehan Tezcaner Ozturk, Ceren Tuncer Sakar, Ozlem Testik
Summary: This paper addresses a bus routing problem and proposes a solution using mixed integer programming and heuristic approaches. The experiments show that the heuristics perform well in solving both small-scale and moderate-scale problems.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2022)
Article
Engineering, Civil
Nayera Elgharably, Said Easa, Ashraf Nassef, Ashraf El Damatty
Summary: This paper studies the stochastic multi-objective Vehicle Routing Problem in a green environment, introduces a hybrid search algorithm, and considers economic, environmental, and social aspects.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Economics
Qihuan Zhang, Ziteng Wang, Min Huang, Yang Yu, Shu-Cherng Fang
Summary: The study focuses on the heterogeneous multi-depot collaborative vehicle routing problem and proposes a Benders-based branch-and-cut algorithm for solving it, which significantly outperforms the commonly used big-M transformation method in numerical experiments. Furthermore, additional computational study emphasizes the importance of depot locations and well-designed cost savings allocation mechanisms in practice.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Article
Management
Biao Yuan, Yuwei Lu, Kangzhou Wang, Xiaoshuai Peng
Summary: This paper presents a real-world problem faced by an automotive logistics company in China, which involves determining routes for auto-carriers to transport vehicles from warehouses to dealers while considering loading and routing constraints. A two-stage iterated local search heuristic is developed to solve this multi-objective problem, and the effectiveness is validated by comparing with a commercial solver and the company's approach. The computational results provide insights for decision-makers when considering different objectives and priorities.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2023)
Article
Computer Science, Interdisciplinary Applications
Sinaide Nunes Bezerra, Marcone Jamilson Freitas, Sergio Ricardo de Souza
Summary: This article addresses the MDVRPTW* problem and proposes an algorithm called SGVNSALS to solve it. The algorithm outperforms other algorithms in terms of the number of used vehicles and covered distance.
COMPUTERS & OPERATIONS RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Paolo Fadda, Simona Mancini, Patrizia Serra, Gianfranco Fancello
Summary: In the field of international maritime transport, the phenomenon of naval gigantism has emerged with the advent of ever larger ships. These giant vessels face operational issues due to their large draft, such as restrictions in accessing small ports and determining the optimal sequence of port visits. Additionally, draft restrictions also impact the fleet sizing problem, although large ships offer lower travel costs per load unit due to economies of scale.
COMPUTERS & OPERATIONS RESEARCH
(2023)
Article
Engineering, Environmental
Gustavo Alfredo Bula, Caroline Prodhon, Fabio Augusto Gonzalez, H. Murat Afsar, Nubia Velasco
JOURNAL OF HAZARDOUS MATERIALS
(2017)
Article
Computer Science, Interdisciplinary Applications
Andres Gutierrez, Laurence Dieulle, Nacima Labadie, Nubia Velasco
COMPUTERS & OPERATIONS RESEARCH
(2018)
Article
Computer Science, Information Systems
Fabian Castano, Andre Rossi, Marc Sevaux, Nubia Velasco
INFORMATION SCIENCES
(2018)
Article
Computer Science, Interdisciplinary Applications
Andres Gutierrez, Laurence Dieulle, Nacima Labadie, Nubia Velasco
COMPUTERS & INDUSTRIAL ENGINEERING
(2018)
Article
Management
Fabian Castano, Nubia Velasco
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2020)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Edgar Duarte-Forero, Gustavo Alfredo Bula
Summary: The study examines the critical role of healthcare network design in achieving sustainability goals and the conflicting objectives of patient accessibility and cost-efficiency in optimization approaches.
APPLIED COMPUTER SCIENCES IN ENGINEERING, WEA 2021
(2021)
Article
Management
Fabian Castano, Nubia Velasco
Summary: This paper proposes a mathematical model based on directed acyclic graphs to minimize personnel required for home health-care services. Results show efficient solutions for medium-sized instances up to 100 daily patient requests. The model allows for realistic characteristics and can be applied to other real-life applications.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2021)
Editorial Material
Business
Nubia Milena Velasco, Gonzalo Mejia
ACADEMIA-REVISTA LATINOAMERICANA DE ADMINISTRACION
(2019)
Proceedings Paper
Automation & Control Systems
A. Felipe Torres-Ramos, Nacima Labadie, Nubia Velasco, Jairo R. Montoya-Torres
Proceedings Paper
Automation & Control Systems
Gustavo Bula, Nacef Tazi, Eric Chatelet
Article
Computer Science, Information Systems
F. Castano, N. Velasco, J. Carvajal-Beltran
IEEE LATIN AMERICA TRANSACTIONS
(2019)
Article
Business
Nubia Velasco, Juan-Pablo Moreno, Claudia Rebolledo
ACADEMIA-REVISTA LATINOAMERICANA DE ADMINISTRACION
(2018)
Article
Health Care Sciences & Services
Maria del Pilar Villamil, David Barrera, Nubia Velasco, Oscar Bernal, Esteban Fajardo, Carlos Urango, Sebastian Buitrago
BMC HEALTH SERVICES RESEARCH
(2017)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)