Introduction

Optimization belongs to a mathematical field that has been generalized and applied to many problems and fields in engineering. The intelligent optimization algorithm is an optimization algorithm based on population iteration. Data-driven optimization combines data and intelligent optimization algorithms to solve a wide variety of problems. Data-driven optimization algorithms have been used in a variety of fields for decades, but their application to smart and sustainable cities is a relatively new area of research. The increasing availability of data from sensors, devices, and databases has made it possible to develop more sophisticated data-driven optimization algorithms that can be used to improve the efficiency and sustainability of urban systems. With the help of emerging control, management, and sensing technologies, as well as recent advances in data analytics and urban experimentation, data-driven optimization promises to enhance our understanding of smart city system design, operation, and planning. Data-driven optimization algorithms typically use a variety of techniques, such as machine learning, artificial intelligence, and mathematical programming, to solve complex optimization problems. These algorithms can be used to identify optimal solutions to problems with a wide range of constraints, such as budget, time, and environmental impact.

At the heart of data-driven urbanism is a computational understanding of urban systems and domains, which reduces urban life to algorithms and computational procedures. Urban science is a field of practicing big data science and analytics that is increasingly making smart and sustainable cities more sustainable and resilient by making them more measurable, understandable, and tractable, efficient, fair and livable.

This special issue aims to collect the latest findings related to data-driven optimization and its application in smart cities, to provide a platform to advance sustainable development of sustainable cities and smart cities, and more importantly, to integrate their strategies and solutions into the framework of smart sustainable cities based on data-driven technologies and solutions.

Recommended topics (but not limited to)

• Big data collection for smart cities
• Data-driven smart city planning and design
• Visual analysis algorithm for smart city monitoring
• Data-driven optimization of transportation and logistics systems
• Data driven design in civil and structural engineering
• Innovative algorithms, software solutions and methodologies for data collection and analysis of big data
• Data-driven modeling techniques
• Data-driven approaches for digital twins
• Smart, sustainable and green supply chain
• Data mining and machine learning for smart cities
• Data-driven safety performance assessment and improvement

Important dates

Submission deadline: 15 June, 2024

Authors notification: 15 October, 2024

Revision submission: 31 December, 2024

Completion of Special Issue: March, 2024

Submission guidelines

Original and unpublished works on any of the topics aforementioned or related are welcome. The SCPE journal has a rigorous peer-reviewing process and papers will be reviewed by at least two referees. All submitted papers must be formatted according to the journal's instructions, which can be found here.

During submission please select a Special Issue that you want to submit to and provide this information in the Comments for the Editor field.

Guest Editors

Lead: Prof. Zhengyi Chai , Tiangong University, China, email: zhengyichai.tiangong@gmail.com

Zhengyi Chai is currently a professor at the School of Computer Science and Technology, Tiangong University, Tianjin, China. He received his Ph.D. degree in computer science in China in 2012. He was a visiting scholar with the department of computer science, University of Nottingham, UK. He is selected as an Innovation Leading Talent of Tianjin University Discipline. He has published his own academic monograph and over 50 papers in international journals and conferences. He has contributed to the development of 20 copyrighted software systems and invented over 6 patents. His research interests include the internet of things and artificial intelligence (especially in machine learning and intelligent computing).

Dr. Hung Cao, University of New Brunswick, Canada, email: hcao3@unb.ca

Dr. Hung Cao is affiliated with the University of New Brunswick as an Assistant Professor of Computer Science. Dr. Cao received his Ph.D. in Geomatics Engineering (specializing in Data Science) and Diploma in University Teaching from the University of New Brunswick in 2020 and 2018 respectively. Dr. Cao has been a member of 15 Technical Communities (e.g. IEEE Smart City, Internet of Everything, Big Data, Cloud Computing, Intelligent Informatics, Wearable and Ubiquitous Computing, etc.). He has served as a TPC member, conference session chair, and scientific reviewer invited by many conferences and journals. He is currently a Topic Editor appointed by Electronics Journal. His research portfolio bridges the area of Smart Cities, Cyber-Physical Systems (CPS), Internet of Things (IoT), Embedded AI, Edge/Fog/Cloud Computing, Machine Learning, Data Science, Decision Intelligence, and Real-time System.

Prof. Anand Nayyar, Duy Tan University, Vietnam, email: anandnayyar@duytan.edu.vn

Dr. Anand Nayyar is currently working in School of Computer Science-Duy Tan University, Da Nang, Vietnam as Professor, Scientist, Vice-Chairman (Research) and Director- IoT and Intelligent Systems Lab. Published more than 175+ Research Papers in various High-Quality Journals. He is acting as Associate Editor for Wireless Networks, Computer Communications, International Journal of Sensor Networks (IJSNET), Frontiers in Computer Science, PeerJ Computer Science, Human Centric Computing and Information Sciences (HCIS) and so on. He is currently researching in the area of Wireless Sensor Networks, Internet of Things, Swarm Intelligence, Cloud Computing, Artificial Intelligence, Drones, Blockchain, Cyber Security, Healthcare Informatics, Big Data and Wireless Communications.

Published in 2024

• Enterprise Audit Risk Assessment and Prevention based on AHP Analysis
• Economic Dispatch of Multi Regional Power Systems Based on CMOPSO Algorithm
• Product Design for the Elderly Based on Human-Computer Interaction in the Era of Big Data
• Detection Method of Tourist Flow in Scenic Spots based on Kalman Filter Prediction
• ARIMA-BPNN based Stock Price Prediction Model Based on Fusion News Sentiment Analysis
• Text Emotion Classification System Integrating Visual Communication and Deep Learning for Social Platform
• Design and Application of Automatic English Translation Grammar Error Detection System based on BERT Machine Vision
• Application of Fashion Element Trend Prediction Model Integrating AM and EfficientNet-b7 Models in Art Design
• Social Media and Cloud Computing Impact on Human Resource Management in Multinational Enterprises
• Evaluation and Selection of Manufacturing Suppliers under the Perspective of Smart Manufacturing Combined with Bilevel Programming
• The Application Characteristics and Creation of Digital Sculpture Based on Parameter Model
• Development and Mode Innovation of Cultural Tourism Resource based on Industrial Integration
• Influential Effects between Positive HR Practices and Employee performance – Mediating Moderating Effects based on Work Engagement
• The Recognition of Aerobics Movements Using Bone Data Combined with ST-GCN
• Application of Heterogeneous Data Analysis based on SEA Grid in User Investment Analysis
• Application of BIM Technology in Structural Design of Prefabricated Building Based on Big Data Simulation Modeling Analysis
• Application of Health Education Program based on Intelligent Recommendation Algorithm in the Development of School-age Children's Hand Hygiene Behavior
• Intelligent Matching Method for College Dormitory Roommates: Chameleon Algorithm Based on Optimized Partitioning
• Multiple Constraint Hybrid Travel Route Recommendation Model Based on Collaborative Filtering Recommendation Algorithm
• The Application of MATLAB in the Mathematics Teaching of Computer Majors
• Interior Scene Coloring Design Model Combining Improved K-means and SAA
• A Deep Learning Model-Based Feature Extraction Method for Architectural Space and Color Connection in Interior Design
• Application of Unet-SE-Bisru Algorithm for Music Signal Processing in Music Source Separation
• Application of Multi-objective Evolutionary Algorithms for Multidimensional Sensory Data Prediction and Resource Scheduling in Smart City Design
• Construction and Application of Three-dimensional Information Management System for Intelligent Buildings Integrating BIM and GIS Technologies
• Performance Evaluation Model of Corporate Financial Sustainability based on Swarm Algorithm
• Landscape Image Defogging System Based on DCPA Algorithm Optimization
• Energy Saving and Emission Reduction Optimization of Enterprise Hazardous Waste Recycling Management System based on Hybrid Genetic Algorithm
• Design and Implementation of SaaS Online Education Management System for Expanding LMS System
• Parametric Design of Office Furniture Partition Space Integrated with the Interactive Evolution Algorithm of FNT and Tree Structure
• Indoor Space Layout Design based on Differential Evolution Algorithm
• Decision-making Support Platform and Security Design for Rural Leisure Tour Industry based on SEA Method and SVR Model
• A Multi-Level Deep Neural Network-Based Tourism Supply Chain Risk Management Study
• Research on the Construction of Intelligent System of Landscape in Science and Innovation Park of Smart City - Based on the Concept of Smart Garden Design
• Research and Analysis of Smart City Landscape Design and Planning Based on The Internet of Things
• Research on Data-driven Urban Intelligent Monitoring and Old City Reconstruction
• Research and Application of a Dual Filtering Music Hybrid Recommendation Model Based on Cat Boost Algorithm and DCN
• Application of LSTM-based Body Fatigue Detection Algorithm in Tai Chi Training
• Damage Prediction Effect of Reinforced Concrete Column and Beam Structure Improved by Multimedia Technology
• Developing Model-Agnostic Meta-Learning Enabled Lightbgm Model Asthma Level Prediction in Smart Healthcare Modeling
• Pre-DNNOff: On-Demand DNN Model Offloading Method for Mobile Edge Computing
• MPC Optimization Algorithm and Strategy for HVAC System under Smart City Construction
• A Student Education Data Mining Method based on Student Sequential Behaviors and Hybrid Recurrent Neural Network