Task Allocation Algorithm and Simulation Analysis for Multiple AMRs in Digital‐Intelligent Warehouses

Concurrency and Computation Practice and Experience, Год журнала: 2025, Номер 37(4-5)

Опубликована: Фев. 10, 2025

ABSTRACT In digital‐intelligent warehouses, the heavy handling tasks, complex algorithms with high computational demands, and vast solution spaces pose significant challenges to achieving stable, efficient, balanced operation of multiple Autonomous Mobile Robots (AMRs) for automated cargo handling. This paper focuses on a virtual smart warehouse environment employs Python software conduct simulation experiments multi‐AMR task allocation. The simulated comprises three idle AMRs 16 points that require transportation. experimental simulations demonstrate improved genetic algorithm can find global optimal relatively low cost, meeting fast response requirements in real‐world operations. It enables stable operation, efficiency, allocation AMRs. results validate reliability proposed method, effectively addressing issues path planning warehouses.

Язык: Английский

---

Associations between panic buying and choice overload during the public health crisis in China: Testing sequential mediation models

Acta Psychologica, Год журнала: 2025, Номер 254, С. 104800 - 104800

Опубликована: Фев. 12, 2025

Язык: Английский

---

Adaptive Slip Control of Distributed Electric Drive Vehicles Based on Improved PSO‐BPNN‐PID

Concurrency and Computation Practice and Experience, Год журнала: 2025, Номер 37(4-5)

Опубликована: Фев. 19, 2025

ABSTRACT The distributed electric drive vehicle is a highly nonlinear and time‐varying system. To address the issue of slip control under varying driving forces road surface coefficients, novel strategy proposed, which considers axle load transfer during acceleration. employs an improved PSO algorithm to obtain optimal parameters for BP neural network, uses network forward propagation calculate PID in real‐time, adjusts weight matrix through backward achieve real‐time adaptive slip. Experimental results indicate that this improves ITAE index by 13.6% response time 74.8% compared anti‐saturation PID.

Язык: Английский

---

Enhancing Inland River Shore Power Utilization: A Game Theory and Prospect Theory Approach to Optimizing Incentive Mechanisms

Sustainability, Год журнала: 2025, Номер 17(5), С. 1964 - 1964

Опубликована: Фев. 25, 2025

The development of the shipping and port industry has significantly driven both Chinese global economies. However, environmental impact their carbon footprint cannot be overlooked. Recently, made strides in implementing various protection measures, with promotion adoption shore power technology inland areas emerging as promising avenues for sustainable development. Despite widespread establishment facilities river areas, utilization rate remains low. This is primarily due to minimal benefits that ships gain from using often fail meet expectations. traditional income function based on rational agent theory inadequate, leading existing incentive measures do not effectively encourage usage by ships. Therefore, it essential analyze this issue perspective behavioral economics. paper introduces reference point effect prospect designs an mechanism game principles. goal explore how government subsidies penalties can adjusted create effective incentives usage, ultimately seeking improve among enhance overall quality ports.

Язык: Английский

---

Prediction of Network Public Opinion Evolution Trends in Emergent Hot Events

Concurrency and Computation Practice and Experience, Год журнала: 2025, Номер 37(12-14)

Опубликована: Май 16, 2025

ABSTRACT In recent years, there has been a notable increase in food safety incidents, which raised considerable public concern. Optimizing supervision and enhancing trust have become urgent issues to be addressed. This study specifically examines the “tanker mixed with edible oil” incident employs variety of methodologies, including text analysis time series modeling, conduct comprehensive sentiment, The findings provide scientific foundation for regulatory oversight. Relevant data were gathered via Python, opinion trends forecast ARIMA model, an in‐depth thematic characteristics associated each phase development was conducted by integrating LDA topic modeling techniques. Meanwhile, this social network construct interactive among users identify key nodes pathways involved dissemination opinion. Through simulation analysis, following conclusions are drawn: (1) cooking exhibited pronounced trend negative sentiment that intensified over time. (2) reveals concern regarding disarray transportation insufficient oversight, highlighting shift public's focus. (3) Social emphasizes crucial roles played official media individual leaders (KOLs) shaping opinion, illustrating how these entities influence direction through their relationships. empirical incident, paper verifies effectiveness adopted method, providing important reference risk prevention control policy‐making.

Язык: Английский

---

Understanding how social media posts affect panic buying behavior: the lens of elaboration likelihood model and scarcity theory

Internet Research, Год журнала: 2025, Номер unknown

Опубликована: Май 19, 2025

Purpose This study investigates the impact of social media posts on panic buying behavior while also examining moderating role posts’ attention level and exploring mediating effects perceived credibility, risk scarcity. Design/methodology/approach Building upon elaboration likelihood model scarcity theory, this examines impacts numerical presentation posting account type explores their underlying mechanisms. To test our hypotheses, we conducted two online randomized experiments employed t -tests regression analysis as main analytical methods. Findings Our findings highlighted significance incorporating precise information utilizing institutional accounts to enhance users’ perceptions thereby inducing behavior. Moreover, from were found amplify risks. Additionally, discovered that both negatively moderated by level. Originality/value While previous research has acknowledged behavior, it overlooked identification specific attributes within these may exert influence well neglected consider user attitudes. contributes existing literature elucidating mechanisms through which three distinct characteristics providing practical insights for effectively managing content mitigating buying.

Язык: Английский

---

The Double-Edged Effect of Social Media in the Collaborative Governance of PPP Projects from a Value Perception Perspective

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106468 - 106468

Опубликована: Май 1, 2025

Язык: Английский

---

Prediction of Carbon Emission Rights Trading Prices Based on the CNN–LSTM Model in the Context of Carbon Peak: Taking Guangdong Province as an Example

Concurrency and Computation Practice and Experience, Год журнала: 2025, Номер 37(12-14)

Опубликована: Май 7, 2025

ABSTRACT Carbon emissions are a significant contributor to global warming. As one of the largest carbon emitters in world, China is committed establishing emission trading market address challenges posed by climate change. The price fundamental component financial market. Accurately predicting it can improve environmental quality, reduce energy demand, and promote economic growth. This study uses data from Guangdong as case employs hybrid model that integrates Convolutional Neural Networks (CNN) Long Short‐Term Memory (LSTM) networks for forecasting. findings indicate that: (1) CNN–LSTM exhibits optimal predictive performance when sliding window set size 5 on basis previous data. (2) By incorporating indicator features pilot dataset while maintaining 5, achieves superior accuracy, evidenced Goodness Fit ( R 2 ) 0.8622 mean absolute error (MAE) 0.0228, resulting most favorable comprehensive evaluation index. (3) integration one‐dimensional convolutional layers with LSTM effectively leverages strengths CNNs local feature extraction capabilities LSTMs modeling time series approach leads substantial improvement compared alternative models such Support Vector Machine (SVM), Recurrent Network (RNN), LSTM.

Язык: Английский

---

A prospect-theory evolutionary game model to analyse cooperation of long-term energy contracts

Energy, Год журнала: 2025, Номер unknown, С. 136855 - 136855

Опубликована: Май 1, 2025

Язык: Английский

---

Pricing strategies for dual-channel supply chain members under pandemic demand disruptions

Operational Research, Год журнала: 2025, Номер 25(2)

Опубликована: Май 30, 2025

Язык: Английский

---