Optimizing the organization of the first mile in agri-food supply chains with a heterogeneous fleet using a mixed-integer linear model DOI Creative Commons
Harol Mauricio Gámez Albán, Ruben Guisson, Annelies De Meyer

и другие.

Intelligent Systems with Applications, Год журнала: 2024, Номер 23, С. 200426 - 200426

Опубликована: Авг. 27, 2024

Язык: Английский

Improved multi-strategy artificial rabbits optimization for solving global optimization problems DOI Creative Commons

Ruitong Wang,

Shuishan Zhang,

Bo Jin

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Авг. 7, 2024

Artificial rabbits optimization (ARO) is a metaheuristic algorithm based on the survival strategy of proposed in 2022. ARO has favorable performance, but it still some shortcomings, such as weak exploitation capacity, easy to fall into local optima, and serious decline population diversity at later stage. In order solve these problems, we propose an improved multi-strategy artificial optimization, called IMARO, algorithm. this paper, roulette fitness distance balanced hiding so that can find better locations hide more reasonably. Meanwhile, improve deficiency which optimum, non-monopoly search Gaussian Cauchy operators designed ability obtain global optimal solution. Finally, covariance restart when stagnant convergence accuracy speed ARO. The performance IMARO verified by comparing original with six basic algorithms seven algorithms. results CEC2014, CEC2017, CEC2022 show good exploration effectively get rid optimum. Moreover, produces real-world engineering further demonstrating its efficiency solving challenges.

Язык: Английский

Процитировано

3
A Rolling Horizon Based Decomposition Algorithm for the Stochastic Logistic Network Problem Considering Perishable Goods DOI
Harol Mauricio Gámez Albán, Christopher Mejía‐Argueta, Thiago Serra

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Enhancing Agricultural Supply Chain Management With Blockchain Technology and DSA‐TabNet: A PBFT‐Driven Approach DOI
Esakki Muthu Santhanam, K. Kartheeban

Transactions on Emerging Telecommunications Technologies, Год журнала: 2025, Номер 36(3)

Опубликована: Фев. 26, 2025

ABSTRACT Agriculture is a vital sector that must operate efficiently to meet daily dietary needs, manage logistics, and enhance food production. However, it faces significant challenges, particularly concerning product safety within supply chain management. Addressing these issues requires the adoption of advanced technologies ensure transparency, traceability, sustainability in agricultural chains. Moreover, maximizing value maintaining consumer trust are crucial modern practices. Existing methods often struggle provide transparent information stakeholders, trust, accurately trace origins. To overcome this study proposes an innovative approach integrates blockchain technology with novel Dilated Self‐Attention‐based TabNet (DSA‐TabNet) algorithm for The DSA‐TabNet utilized quality assessment, leveraging create tamper‐proof record transactions data. This allows stakeholders track flow products access critical information, including storage conditions, transportation details, harvesting cultivation data integrity secure transactions, Practical Byzantine Fault Tolerance (PBFT) consensus employed. PBFT enhances system's reliability by preventing fraudulent activities chain. also detects patterns related quality, enabling early identification such as adulteration, spoilage, contamination. By learning from historical data, receive timely notifications, ensuring consumers high‐quality safe products, thereby increasing efficiency reducing losses. effectiveness proposed evaluated using key performance indicators, precision, specificity, F1‐score, accuracy, recall, throughput, latency. results demonstrate integration significantly reliability,

Язык: Английский

Процитировано

0
Sustainable food waste supply chain network design problem with government environmental oversight: Globalized robust bi-level model and exact algorithm DOI

Yuexia Wang,

Hongyan Ma, Ying Liu

и другие.

Socio-Economic Planning Sciences, Год журнала: 2025, Номер unknown, С. 102205 - 102205

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Toward agri-food supply chain viability under pest spread risk DOI
Amin Reza Kalantari Khalil Abad, Farnaz Barzinpour, Mir Saman Pishvaee

и другие.

Journal of Industrial Information Integration, Год журнала: 2025, Номер unknown, С. 100843 - 100843

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Supply Chain Planning of Agricultural-Products Under Water Scarcity Using Deep Learning DOI
Padmashree Gehl Sampath,

A. Jackulin Mahariba,

P. Sathiyamurthi

и другие.

Iranian Journal of Science and Technology Transactions of Civil Engineering, Год журнала: 2025, Номер unknown

Опубликована: Апрель 15, 2025

Язык: Английский

Процитировано

0
Multi‐Objective Optimization of the Food‐Energy‐Water Nexus Problem: A Review of the Key Concepts and Emerging Opportunities in Objective Functions, Decision Variables, and Optimization Techniques DOI Creative Commons
Isaac Okola,

Elisha Opiyo Omulo,

Daniel Orwa Ochieng

и другие.

Earth s Future, Год журнала: 2025, Номер 13(4)

Опубликована: Апрель 1, 2025

Abstract Food, energy, and water are basic needs that quite important in livelihood sustainability. In most situations, their interactions make trade‐offs between these key areas of need challenging to attain. For the Food‐Energy‐Water Nexus (FEWN), there exists a for appropriate decision‐making tools may help surmount such challenges. Multiobjective Optimization Approaches (MOAs) have emerged as potential solutions within this domain. The major components explored review include objective functions, decision variables, optimization techniques MOAs. Despite potential, few studies comprehensively address concepts components, role stakeholder involvement, limitations existing research, emerging technological opportunities could enhance MOAs FEWN. Preferred Reporting Items Systematic Reviews Meta‐Analyses protocol, was combined with Meta‐ethnography select, review, analyze literature. data synthesis done by meta‐ethnography, finding terms categorize developing related Key categorizing functions maximizing economic, environmental, social benefits food, security. availability, accessibility, sufficiency, while Mathematical Programming Metaheuristics. Besides, technologies create substantial improve performance Therefore, is develop integrate aspects support sustainability

Язык: Английский

Процитировано

0
Agri-food supply chain network design: A comprehensive review and future research directions DOI
Hamza Chokri,

Issam Nouaouri,

Hamid Allaoui

и другие.

Computers & Industrial Engineering, Год журнала: 2025, Номер unknown, С. 111203 - 111203

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0
Augmented data strategies for enhanced computer vision performance in breast cancer diagnosis DOI

Asieh Kaffashbashi,

Vahid Sobhani, Fariba Goodarzian

и другие.

Journal of Ambient Intelligence and Humanized Computing, Год журнала: 2024, Номер 15(7), С. 3093 - 3106

Опубликована: Апрель 23, 2024

Язык: Английский

Процитировано

2
Integrated resilient and sustainable gasoline supply chain model with operational and disruption risks: a case study of Iran DOI
Seyed Mohammad Khalili, Alireza Pooya, Mostafa Kazemi

и другие.

Environment Development and Sustainability, Год журнала: 2024, Номер unknown

Опубликована: Июль 9, 2024

Язык: Английский

Процитировано

2