A risk-based green location-inventory-routing problem for hazardous materials: NSGA II, MOSA, and multi-objective black widow optimization

Rahbari, Misagh; Khamseh, Alireza Arshadi; Sadati-Keneti, Yaser; Jafari, Mohammad Javad

doi:10.1007/s10668-021-01555-1

Cited by 26 publications

(16 citation statements)

References 78 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… Çelik et al, 2012 , Central Bank of the Islamic Republic of Iran, 2019 , Food and Agriculture Organization of the United Nations, 2021 , Gilani et al, 2022 , Hameedu, 2014 , Heidari et al, 2019 , Kumar and Kansara, 2018 , Ministry of agriculture-Jahad, 2019 , Rahbari et al, 2022 , Rahbari et al, 2018 , Rahbari et al, 2022 , Seydanlou et al, 2022 , Singh et al, 2021 , xxxx , Vahdani et al, 2018 , World Health Organization, 2021 .…”

Section: Uncited Referencesmentioning

confidence: 99%

Robust optimization and strategic analysis for agri-food supply chain under pandemic crisis: Case study from an emerging economy

Rahbari¹,

Khamseh²,

Mohammadi³

2023

Expert Systems with Applications

Self Cite

View full text Add to dashboard Cite

Section: Uncited Referencesmentioning

confidence: 99%

Robust optimization and strategic analysis for agri-food supply chain under pandemic crisis: Case study from an emerging economy

Rahbari¹,

Khamseh²,

Mohammadi³

2023

Expert Systems with Applications

Self Cite

View full text Add to dashboard Cite

“…al. ( 2020 ) 2020 10 36 Black Widow Optimization Algorithm Mathematical and Engineering Optimization problems (Hayyolalam and Kazem 2020 )), MLT based Image Segmentation (Houssein et al 2021h ; ) (Al-Rahlawee and Rahebi 2021 ), Feature Selection (Hu et al 2022 ), Internet of Things (IoT) (Ravikumar and Kavitha 2021 ), Wireless Sensor Networks(WSN) (Sheriba and Rajesh 2021 ), ), Human Object Detection (Mukilan and Semunigus 2021 ), ), Suspended Sediment Load Prediction (Panahi et al 2021 ), Location-Inventory Routing Problem (Rahbari et al 2021 ), PID Controller (Munagala and Jatoth 2021 ) Hayyolalam and Kazem ( 2020 ) 2020 126 37 Forensic-Based Investigation Optimization Resource-Constrained Scheduling Problem (Chou and Nguyen 2020 ), Structural Design Problems Chou and Nguyen 2020 ), Mathematical and Engineering Optimization problems (Chou and Nguyen 2020 , ; Kuyu and Vatansever 2021 ), Parameter optimization of support vector machine (Cao et al 2021 ) Chou and Nguyen ( 2020 ) 2020 17 38 Bald Eagle Search Mathematical and Engineering Optimization problems (Alsattar et. al.…”

Section: Survey On Recent Nature-inspired Optimization Algorithmsmentioning

confidence: 99%

Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review

2022

View full text Add to dashboard Cite

Multilevel Thresholding (MLT) is considered as a significant and imperative research field in image segmentation that can efficiently resolve difficulties aroused while analyzing the segmented regions of multifaceted images with complicated nonlinear conditions. MLT being a simple exponential combinatorial optimization problem is commonly phrased by means of a sophisticated objective function requirement that can only be addressed by nondeterministic approaches. Consequently, researchers are engaging Nature-Inspired Optimization Algorithms (NIOA) as an alternate methodology that can be widely employed for resolving problems related to MLT. This paper delivers an acquainted review related to novel NIOA shaped lately in last three years (2019–2021) highlighting and exploring the major challenges encountered during the development of image multi-thresholding models based on NIOA.

show abstract

“…Rahbani et al [27] presented the multiobjective black widow optimization method, a metaheuristic approach for solving multiobjective optimization problems. e study's findings showed that the NSGAII algorithm performs better in small and medium-scale test issues, but the proposed technique performed better in large-scale test problems than the other two methods.…”

Section: Literature Reviewmentioning

confidence: 99%

Providing a Multiproduct and Multiperiodic Model for Closed‐Loop Green Supply Chain under Conditions of Uncertainty Based on a Fuzzy Approach for Solving Problem of Business Market

Lagzaie

Hamzehee

2022

Complexity

View full text Add to dashboard Cite

Many organizations must adjust their supply chains and business environments to remain competitive and retain market share. However, despite the benefits of such developments for organizations, they can lead to supply chain disruptions in many cases. An essential aspect of modern organizations is closed-loop supply chain management, which reduces risk by coordinating processes. This paper presents a mathematical model of a closed-loop green supply chain under uncertain conditions. A detailed description of the model and current assumptions for a specific industry are provided. Consequently, the model is developed with several relevant objectives for the design of the network. Our proposed model has the following characteristics: being multiobjective, multiproduct, and multiperiodic. Our analysis indicates that the applied model can be used both to increase profitability and to reduce environmental damage. The problem was made more uncertain using fuzzy logic. Torabi and Hassini (TH) method is combined with Jiménez’s proposed method to solve the problem.

show abstract

A risk-based green location-inventory-routing problem for hazardous materials: NSGA II, MOSA, and multi-objective black widow optimization

Cited by 26 publications

References 78 publications

Robust optimization and strategic analysis for agri-food supply chain under pandemic crisis: Case study from an emerging economy

Robust optimization and strategic analysis for agri-food supply chain under pandemic crisis: Case study from an emerging economy

Nature-inspired optimization algorithms and their significance in multi-thresholding image segmentation: an inclusive review

Providing a Multiproduct and Multiperiodic Model for Closed‐Loop Green Supply Chain under Conditions of Uncertainty Based on a Fuzzy Approach for Solving Problem of Business Market

Contact Info

Product

Resources

About