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Article
Computer Science, Interdisciplinary Applications
Huixia Cui et al.
Summary: This study proposes a new adaptive genetic algorithm to solve issues regarding the timeliness and high cost of logistics distribution in the logistics economy. A large neighborhood search algorithm is introduced to enhance local optimization ability. Additionally, a soft time window town logistics distribution model considering optimal cost and customer satisfaction is established. Experimental results demonstrate the effectiveness of the proposed adaptive genetic algorithm.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2023)
Article
Environmental Sciences
Marcello Ruberti
Summary: The analysis of the important environmental impacts and eco-efficiency of the semiconductor manufacturing industry shows that, unlike many other sectors, larger company size, higher technological capacity, and more advanced technologies are not always correlated with lower quantities of water, energy, waste, wastewater, and GHG emissions per unit of production. It is hoped that foundry firms, especially those with the most advanced technologies, will invest more in optimizing resource use and further reducing GHG emissions and waste generation in the future.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Computer Science, Artificial Intelligence
Mustafa Serter Uzer et al.
Summary: The Whale Optimization Algorithm (WOA) is a recent meta-heuristic algorithm that exhibits advantages such as exploration towards global optimality, balanced exploration and exploitation, and strong exploitation capability. This study proposes five new hybrid algorithms that combine WOA with Particle Swarm Optimization (PSO) and the Levy flight algorithm. The performance of these algorithms is compared using 23 mathematical optimization problems, and the WOALFVWPSO algorithm outperforms the others.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Geography, Physical
Hongzan Jiao et al.
ISPRS International Journal of Geo-Information
(2023)
Article
Engineering, Industrial
Kun He
Summary: This study develops a new location model for cold chain distribution centers. The Affinity Propagation clustering algorithm is used to simplify location selection and the combination of binary semantics and entropy reduces subjectivity. The results show optimal location selection and the absence of multiple secondary distribution centers serving the same retailer. The research method is more objective and scientific for the positioning of cold chain distribution centers.
JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING
(2023)
Article
Mathematical & Computational Biology
Xiangyang Ren et al.
Summary: This study incorporates carbon emission as a cost into the vehicle routing problem and establishes a multi-center joint distribution optimization model that considers the distribution cost, carbon emission, and customer satisfaction. The improved ant colony algorithm effectively reduces costs and carbon emissions while improving customer satisfaction.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2023)
Article
Engineering, Civil
Kaijun Leng et al.
Summary: The research focuses on optimizing the path of logistics distribution vehicles to enhance the efficiency of intelligent logistics systems. A new Concentration-Immune Algorithm Particle Swarm Optimization (C-IAPSO) is proposed, which shows superior performance in vehicle path optimization.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Interdisciplinary Applications
Qinyang Bai et al.
Summary: This study proposed a low-carbon cold chain logistics routing optimization model considering the complexity of the road network and time-varying traffic conditions. The results show that the model can accurately assess distribution costs and carbon emissions, providing guidance for logistics companies and governments.
INDUSTRIAL MANAGEMENT & DATA SYSTEMS
(2022)
Article
Computer Science, Interdisciplinary Applications
Fatma A. Hashim et al.
Summary: This paper introduces a new metaheuristic optimization algorithm called Honey Badger Algorithm (HBA), inspired by the intelligent foraging behavior of honey badgers, to develop an efficient search strategy for solving optimization problems. Experimental results demonstrate the effectiveness and superiority of HBA in solving optimization problems with complex search-space.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2022)
Article
Computer Science, Information Systems
Xiaodan Liang et al.
Summary: The whale optimization algorithm (WOA) is a popular swarm intelligence algorithm that can easily fall into local optimal solutions. To overcome this issue, a modified variant called OCDWOA is proposed, which introduces four operators to enhance the search performance of WOA. Experimental results show that OCDWOA outperforms other algorithms in obtaining the global optimal solution.
MOBILE INFORMATION SYSTEMS
(2022)
Article
Chemistry, Analytical
Jun Chen et al.
Summary: This paper proposes an optimal location method for an intelligent transportation logistics warehouse, incorporating IoT and blockchain technology. Experimental results indicate that this method outperforms traditional methods, reducing costs and improving positioning accuracy.
Article
Engineering, Civil
Yinghuan Liu
Summary: This paper proposes a multi-objective dynamic programming model based on the meme algorithm to address the issues in traditional cold chain logistics deployment path planning models, ultimately achieving dynamic programming of cold chain logistics deployment paths.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Jingliang Jin et al.
Summary: This paper discusses the low-carbon power dispatching problem in wind power integrated systems with carbon trading. It proposes a distributed robust optimization model and explores wind power characterization and allocation methods for carbon emission rights. The empirical analysis shows that wind power integration and carbon trading can effectively reduce carbon emissions and operating costs.
Article
Geography, Physical
Mu Xufang et al.
Summary: The continuous growth of urban agglomerations in China has increased their complexity and vulnerability. This study focuses on the Beijing-Tianjin-Hebei urban agglomeration and constructs an urban resilience evaluation system based on four subsystems. The study analyzes the spatio-temporal evolution and dynamic simulation of urban resilience using various methods. The results show that economic resilience is the main factor affecting urban resilience, and the level of urban resilience is forecast to continue increasing over the next ten years.
JOURNAL OF GEOGRAPHICAL SCIENCES
(2022)
Article
Environmental Sciences
Aejin Lee et al.
Summary: This study explores the recovery of multicomponent waste solvents from the semiconductor industry. By investigating mixture thermodynamic behavior, optimizing process design, integrating renewable energy, a greener and energy-efficient process for waste solvent recovery is proposed. The results show that waste solvent recovery with conventional energy has cost and carbon emission advantages compared to waste disposal.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Green & Sustainable Science & Technology
Shih-Ping Shen et al.
Summary: This study proposes a model that helps the semiconductor industry achieve sustainable development through a systematic analysis. By using the Best Worst Method to determine the weights of evaluation criteria and optimizing the fuzzy TOPSIS technique, the study identifies green resource integration and pollution-discharge treatment as the most important criteria for industry's sustainable development.
Article
Green & Sustainable Science & Technology
Manzhi Liu et al.
Summary: China's transport industry has become a focal point for energy conservation and emission reduction due to its significant carbon dioxide emissions. This study used the input-output method and structure decomposition method to analyze the industry's carbon dioxide emissions. The results highlighted the importance of focusing on road transport activity, consumption expenditure, other heavy industries, and energy structure and intensity adjustment to control carbon emissions in the transport industry.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Thermodynamics
XinXin Peng et al.
Summary: Under the background of government carbon trading and carbon subsidy policies, this study examines the impact of a low-carbon supply chain led by a manufacturer on market demand. Through the use of Stackelberg game theory, several models are constructed. The findings indicate that the MKM model, where the government implements carbon trading and carbon subsidy policies and the manufacturer shares the cost of promotion, is the optimal solution.
INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES
(2022)
Article
Computer Science, Information Systems
Milan Tair et al.
Summary: This study proposes an enhanced implementation of the well-known whale optimisation algorithm, which combines chaotic and opposition-based learning strategies, and demonstrates its successful application in hyper-parameter optimisation and feature selection machine learning challenges. The proposed model outperforms other competitors in classification performance and selected subset feature size.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Computer Science, Interdisciplinary Applications
Jiaxin Chen et al.
Summary: Low-carbon economy is a new trend in economic development, with a focus on sustainable development in cold chain logistics. This paper introduces a time-dependent green vehicle routing problem (TDGVRP) for front warehouses, considering costs such as fixed costs, refrigeration costs, fuel consumption costs, carbon emission costs, time window violation costs, and damage costs. The study also explores the impact of traffic congestion and carbon tax on the TDGVRP, proposing a hybrid simulated annealing and tempering algorithm (HSATA) to address the model. Results show that traffic congestion increases carbon emissions, while increased carbon tax can reduce emissions within a certain range, supporting green and sustainable decision-making in cold chain logistics.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Yanmei Li et al.
Summary: The study analyzed urban traffic CO2 emissions and their predictions, conducted an analysis of influencing factors, identified four factors that have a significant impact on transportation CO2 emissions, and made policy recommendations based on these factors.
Article
Mathematical & Computational Biology
Zhen Li et al.
Summary: This paper implements software defect prediction based on deep learning, combining the particle swarm algorithm and the wolf swarm algorithm for optimization, resulting in better performance indicators. By using a hybrid algorithm in the search for model hyperparameter optimization, the model's performance is enhanced.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
(2021)
Article
Computer Science, Interdisciplinary Applications
Laith Abualigah et al.
Summary: This paper introduces a novel population-based optimization method, AO, inspired by the behaviors of eagles during hunting. Through a series of experiments, the superior performance of AO in finding optimal solutions for various problems is demonstrated and compared with other meta-heuristic methods.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Mathematics
Chun-Yao Lee et al.
Summary: This study introduces a hybrid whale optimization algorithm that combines genetic and thermal exchange optimization methods, enhancing global optimization capability. The algorithm demonstrates accuracy and competitiveness on benchmark test functions and datasets, performing excellently in solving optimization problems.
Article
Engineering, Mechanical
Yanqi Zhang et al.
Summary: By utilizing a Mixed Integer Non-linear Program (MINLP) model, the problem of long logistics delivery time in the supply chain can be solved through optimization of layout, cost reduction, time reduction, and efficiency improvement in logistics system operation. This optimization is crucial in encouraging supply chain circulation and has a significant impact on economic development.
NONLINEAR ENGINEERING - MODELING AND APPLICATION
(2021)
Article
Computer Science, Information Systems
Thananut Phiboonbanakit et al.
Summary: The paper proposes a new optimization model based on reinforcement learning (RL) and tree-based regression method to address the vehicle routing problem (VRP). This model iteratively uses RL agent to optimize vehicle routing and tree-based regression model to assess the feasibility of routes, resulting in significant profit gains for logistics agencies compared to conventional approaches.
Article
Engineering, Multidisciplinary
Dongmei Zhang et al.
Summary: This study clarifies the embeddedness among low-carbon rural logistics potential, strength, and environmental regulations, constructing an evolutionary framework for the system. By proposing an evolutionary equation and threshold criteria, it highlights the crucial role of LRLP in the evolution of the low-carbon rural logistics system for sustainable development.
Article
Computer Science, Information Systems
Shengjie Long et al.
Summary: This study proposes a robust optimization model for epidemic logistics, aimed at determining the optimal location of temporary relief distribution centers and route planning to address uncertain demands during the disaster response phase. Through performance evaluation experiments, it is found that the proposed algorithm outperforms other three algorithms in terms of solution quality.
Article
Computer Science, Artificial Intelligence
Juan Li et al.
Summary: The paper proposes a cuckoo search algorithm with balanced-learning mechanism, which enhances search ability through learning beneficial behaviors and achieves a balance between exploitation and exploration by adaptively adjusting learning factors.
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
(2021)
Review
Computer Science, Information Systems
Sourabh Katoch et al.
Summary: This paper discusses recent advances in genetic algorithms, analyzing selected algorithms of interest in the research community. It helps new and demanding researchers gain a broader understanding of genetic algorithms. The review covers well-known algorithms, genetic operators, research domains, and future research directions in genetic algorithms.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Construction & Building Technology
Loshaka Perera et al.
SUSTAINABLE CITIES AND SOCIETY
(2020)
Article
Computer Science, Information Systems
Shuihai Dou et al.
Article
Energy & Fuels
Boqiang Lin et al.
Article
Environmental Sciences
Fengyi Lin et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2019)
Article
Computer Science, Theory & Methods
Ali Asghar Heidari et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2019)
Article
Computer Science, Artificial Intelligence
Farhad Soleimanian Gharehchopogh et al.
SWARM AND EVOLUTIONARY COMPUTATION
(2019)
Article
Green & Sustainable Science & Technology
Li-Yi Zhang et al.
JOURNAL OF CLEANER PRODUCTION
(2019)
Review
Green & Sustainable Science & Technology
Janaina Macke et al.
JOURNAL OF CLEANER PRODUCTION
(2019)
Article
Computer Science, Artificial Intelligence
Dongshu Wang et al.
Article
Computer Science, Information Systems
Ying Ling et al.
Article
Computer Science, Interdisciplinary Applications
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE
(2016)
Article
Computer Science, Artificial Intelligence
Mehdi Neshat et al.
ARTIFICIAL INTELLIGENCE REVIEW
(2014)
Article
Computer Science, Interdisciplinary Applications
Amir H. Gandomi et al.
JOURNAL OF COMPUTATIONAL SCIENCE
(2014)
Article
Computer Science, Artificial Intelligence
Swagatam Das et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2011)
Article
Business
Yu-Shan Chen
JOURNAL OF BUSINESS ETHICS
(2008)