Journal of Computational Methods in Sciences and Engineering - Volume 24, issue 3

Authors: Sundaresan, Yuvaraj Gandhi | Thiyagarajan, Revathi

Article Type: Research Article

Abstract: The difficulty of scheduling jobs or workloads increases due to the stochastic and transient characteristics of the cloud network. As a key prerequisite for establishing QoS, it asserts that effective work scheduling must be developed and executed. Maximum profit is made possible for cloud service providers by proper resource management. The most effective scheduling algorithm considers resources given by providers rather than the task set that users have accumulated. This paper developed a model that works in a two-level hierarchical model comprising global scheduling and local schedules to handle the heterogeneous type of request in real-time. These two levels of …scheduling communicate with each other to produce an optimal scheduling scheme. Initially, all the requests are passed to the global scheduler, whose task is to categorize the type of request and pass it to the corresponding queue for assigning it to the related local scheduler using a parabolic intuitionistic fuzzy scheduler. In this work, the heterogeneous types of files are handled by maintaining different queues, in which each queue handles only a specific type of file like text doc, audio, image and video. Once the type of req is initiated by the clients, the global scheduler identifies the type of request and passes it to their relevant queue. In the next level, the local scheduler is assigned to each type of web server cluster. Once the work request is dispatched from the global workload scheduler, it is allocated to the local queue of the local scheduler, which allocates the resources of web servers by adapting the Quantum Honey Badger Algorithm, which searches the best-suited server for completing the assigned work based on the available resource parameters. Show more

Keywords: Work load scheduling, Intuitionistic fuzzy, quantum theory, honey badger algorithm, resource allocation, heterogenous work, cloud network

DOI: 10.3233/JCM-230008

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 1851-1862, 2024

Authors: Shan, Zhengyi | Zhu, Shihong

Article Type: Research Article

Abstract: By constructing an evaluation system for the high-quality development of innovation and entrepreneurship, an evaluation index system was established in this study from five aspects: the background, process, input, output, and transformation of innovation and entrepreneurship, and analytic hierarchy process (AHP) and entropy method (EM) were adopted to perform combination weighting. Then, the core of each subsystem and the comprehensive score were calculated based on the TOPSIS method, the high-quality development level of urban innovation and entrepreneurship in 19 vice-ministerial cities like Beijing, Shanghai, Tianjin, Chongqing, Guangzhou, Shenzhen, and Chengdu in China was measured, and the innovation and entrepreneurship development …level and structural characteristics were analyzed from five aspects. The results show that Shenzhen, Shanghai, Beijing, Nanjing, and Guangzhou take the lead in the high-quality development of innovation and entrepreneurship, while Xi’an, Chengdu, Hangzhou, Wuhan, Qingdao, Jinan, and Ningbo are in the medium level. Chongqing, Shenyang, Dalian, Harbin, Xiamen, and Changchun perform poorly in the development of innovation and entrepreneurship with problems of interregional large gradient difference in capacity and unbalanced development, which provides an important reference for understanding the current situation, advantages, and disadvantages of innovation and entrepreneurship education development in various economic zones. Show more

Keywords: Innovation and entrepreneurship, entropy method, analytic hierarchy process, TOPSIS method, level measurement

DOI: 10.3233/JCM-230009

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 1863-1876, 2024

Authors: Xu, Yebiao

Article Type: Research Article

Abstract: Global warming is one of the key issues attracting international concern. The carbon dioxide emission produced by energy combustion is the main cause of the greenhouse effect, and reducing carbon emissions is considered the most effective way to deal with the greenhouse effect. The extensive production mode characterized by high energy consumption, high emission, and low efficiency in China’s construction industry intensifies the contradiction between economic development and resources and the environment, and the growth under this mode is at the expense of consuming a lot of resources and energy. The improvement of carbon emission efficiency is an effective means …of achieving the goal of economic growth and carbon emission reduction simultaneously, making it necessary to accurately measure the carbon emission efficiency of the construction industry in each province, determine the influencing factors, and formulate reasonable emission reduction policies for this industry. In this study, an input-output index system of carbon emission efficiency of China’s construction industry was constructed, the carbon emission efficiency of the construction industry in each province was evaluated using the super-efficiency SBM model, and the factors affecting the carbon emission efficiency of this industry were analyzed via the Tobit model. The results showed that the average value of carbon emission efficiency of the construction industry generally showed a rising trend in a fluctuating way during the study period. From 2014 to 2022, the average carbon emission efficiency of the national construction industry presented an upward trend, from 1.122 in 2014 to 1.148 in 2022; the regional economic level (p = 0.020 < 0.05) and human capital level (p = 0.000 < 0.01) exerted obvious promoting effects on the carbon emission efficiency of China’s construction industry, while the urbanization development (p = 0.049 < 0.05) generated evident negative effects on carbon emission efficiency of this industry. The research results have important reference values for making cross-provincial emission reduction plans for the construction industry, promoting its carbon emission efficiency, and driving the research and development of green building materials and clean energy. Show more

Keywords: Super-efficiency SBM, Tobit model, China’s construction industry, carbon emission efficiency, energy consumption

DOI: 10.3233/JCM-230010

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 1877-1887, 2024

Authors: Yin, Zhixiang | Yin, Zongyi | Ye, Jiamei | Liu, Runchang

Article Type: Research Article

Abstract: Nowadays, the demand for risk response is increasing in countries worldwide, leading to the development of emergency-related industries as strategic emerging sectors. However, the emergency logistics industry is facing increasingly critical distribution issues. This study applies K-means clustering analysis to convert multiple distribution centers into multiple single distribution center problems. It then compares and analyzes the vehicle routing model with time windows for emergency logistics delivery in multiple distribution centers using guided local search (GLS), taboo search (TS), and simulated annealing (SA) algorithm. The results demonstrate that the GLS algorithm outperformed both the SA and TS algorithm in optimizing emergency …logistics delivery paths for multiple distribution centers. The GLS algorithm proved to be more effective in solving this problem. This study confirms the contemporary value of emergency logistics distribution problems and offers practical insights into optimizing emergency logistics distribution paths in multiple distribution centers. Show more

Keywords: Emergency logistics, distribution path, K-means, guided local search algorithm, multiple distribution centers

DOI: 10.3233/JCM-230011

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 1889-1902, 2024

Authors: Chung, Yao-Liang | Chung, Hung-Yuan | Yang, Zheng-Hua | Pichappan, Pit

Article Type: Research Article

Abstract: This study aimed to apply a microprocessor on a wireless automated vehicle to achieve real-time tracking of moving objects. The targets captured by the camera on the vehicle were first separated from their background through background subtraction. Next, morphological processing was performed to remove unnecessary information. An enhanced seeded region growing method was used to achieve image segmentation by labeling and segmenting the targets effectively, thus enhancing the accuracy and resolving the problem of object concealment. The corresponding red, green, and blue colors of each target were calculated through a color space, which was then converted into an enhanced luminance/chroma …blue/chroma red (YUV) color space for color histogram modeling and storage, so as to increase the system’s tracking speed. The enhanced YUV colors also achieved accurate tracking in dark places. After inputting the next image, an enhanced agglomerative hierarchical clustering method was used to agglomerate and connect pixels with the same YUV for tracking. A proportional-integral-derivative controller controlled the motors on the camera lens and the vehicle so that the target could be tracked properly in real-time. The experimental results revealed that our proposed tracking method performed better than conventional tracking methods. Show more

Keywords: Object tracking, seeded region growing method, YUV color space, agglomerative hierarchical clustering method, PID control

DOI: 10.3233/JCM-230012

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 1903-1919, 2024

Authors: Wang, Baohua | Du, Yunchao

Article Type: Research Article

Abstract: Intelligent interconnection and big data will be the core content of the future competition, and a unified digital platform construction of the automobile manufacturing industry will inevitably become an important support for the future development from large to strong. Using literature research and expert consultation, 14 influencing factors of digital platform construction in the automobile manufacturing industry were sorted out. this study uses ISM (Interpretative structural modelling) model to stratify the influencing factors of digital platform construction of the automobile manufacturing industry, draw a multi-layer hierarchical structure diagram of influencing factors, and uses the MICMAC (Matrix impacts cross-reference multiplication applied …to a classification) method to analyze the dependence and driving force of the main influencing factors. The results show that 14 factors are more scientific and reasonable as influencing factors of digital platform construction in the automobile manufacturing industry. A1, A3, B1, B3, C3, D2, D3 are the top-level influencing factors. C1 and C2 are the bottom influencing factors, highlighting that technical factors are still the fundamental factors affecting the digital platform of the automobile manufacturing industry. C1, D1 and C2 are autonomous factors with a high driving force and play an important role in promoting digital platform construction in the automobile manufacturing industry. The research results have important reference value for accelerating the digital transformation of the automobile manufacturing industry, enhancing the core competitiveness of automobile industry enterprises, and improving the monitoring degree of operation status of the automobile industry market. Show more

Keywords: ISM-MICMAC, automobile manufacturing, digital platform, dependence, driving force, influencing factor

DOI: 10.3233/JCM-230013

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 1921-1930, 2024

Authors: Wang, Pei

Article Type: Research Article

Abstract: The high-quality development of the logistics industry, which is an essential and strategic industry supporting the national economic operation and a fundamental component of modern industrial system construction, is not only a key component of the high-quality development of the national economy but also the main driving force for the high-quality growth of the national economy. As the supporting industry of the national economy, the logistics industry will also face spatial disequilibrium during development. Therefore, to achieve the coordinated development of the logistics industry, the high-quality development and the spatial-temporal unbalanced development status of the logistics industry in each province …must be figured out first. This research established a comprehensive evaluation system for the logistics industry development, which included 14 basic indexes based on the provincial-level panel data of 30 provinces in China during 2009–2020. Then, the regional logistics development level score in China was measured using the entropy weight TOPSIS method, and the differences in the regional logistics development level in China and the dynamic evolution law of their distribution were deeply explored through the Dagum Gini coefficient model. The research results revealed that the evaluation index system (14 basic indexes) for the regional logistics industry development level in China was relatively scientific and reasonable; the regional logistics industry development level in China was increasing year by year, showing a steady upward trend, and the imbalance in the eastern, central, and western regions regarding the regional logistics development was shrinking year by year; the average intergroup contribution rate was 36.33%, the intragroup contribution rate was 31.49%, and the contribution rate of intensity of trans variation was 32.19%, proving that the regional differences exerted a most extraordinary influence on the spatial differences in the regional logistics industry development level in China. The research results have important reference value for summarizing the meaning of high-quality logistics industry development, constructing the evaluation index system for logistics industry development, and exploring the reasons for the temporal and spatial differences in logistics industry development in China. Show more

Keywords: Entropy weight TOPSIS, Dagum model, regional logistics, development level, difference

DOI: 10.3233/JCM-230014

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 1931-1942, 2024

Authors: Diao, Xueying

Article Type: Research Article

Abstract: Excessive emission of greenhouse gases leads to the increasing greenhouse effect, adversely affecting the global climate. Carbon dioxide is the dominant part of greenhouse gases; reducing its emission is the most important way to solve the climate problem. Aiming at the characteristics of the dangerous goods transportation market and the development of the carbon tax policy, the carbon tax cost and the cost of dangerous goods transportation are introduced, and the characteristics of the dangerous goods transportation and the road traffic network and the road traffic in each period are fully analyzed. The optimization model of the path of the …hazardous goods vehicles is established with the optimization objective of the lowest total cost. Then, by analyzing the advantages and disadvantages of bacterial foraging algorithm (BFA) and ant colony algorithm (ACO), the hybrid BFA-ACO algorithm is established by combining the two, and the replication and convergence operations of bacterial foraging algorithm are introduced into the ACO algorithm to improve the convergence speed and global convergence ability of the algorithm. The hybrid algorithm is then used to optimize and solve the path optimization model of hazardous materials vehicles and compared with the classical algorithms Genetic Algorithm (GA) and ACO for solving the path of dangerous materials vehicles. A comparison of the optimization results reveals that optimizing the model by bacterial foraging-ACO algorithm is better than optimizing the model by a single algorithm. Show more

Keywords: Hazardous materials transportation, path optimization, carbon tax, disinfection costs, bacterial foraging-ant colony algorithm

DOI: 10.3233/JCM-230015

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 1943-1954, 2024

Authors: Vijayachandran, Vipin | R, Suchithra

Article Type: Research Article

Abstract: Data collection using local differential privacy (LDP) has mainly been studied for homogeneous data. Several data categories, including key-value pairs, must be estimated simultaneously in real-world applications, including the frequency of keys and the mean values within each key. It is challenging to achieve an acceptable utility-privacy tradeoff using LDP for key-value data collection since the data has two aspects, and a client could have multiple key-value pairs. Current LDP approaches are not scalable enough to handle large and small datasets. When the dataset is small, there is insufficient data to calculate statistical parameters; when the dataset is enormous, such …as in streaming data, there is a risk of data leakage due to the high availability of too much information. The result is unsuitable for examination due to the substantial amount of randomization used in some methods. Existing LDP approaches are mostly restricted to basic data categories like category and numerical values. To address these difficulties, this research developed the DKVALP (Differentially private key-value pairs) algorithm, which ensures differential privacy in key-value pair data. This DKVALP is a lightweight, differentially private data algorithm that generates random noise using an updated Laplace algorithm to ensure differential privacy for the data. According to execution outputs on synthetic and real-world datasets, the proposed DKVALP framework offers improved usefulness for both frequency and mean predictions over the similar LDP security as conventional approaches. Show more

Keywords: Differential privacy, local differential privacy, Laplace algorithm, back key-value pairs, improved Laplace algorithm and DKVALP

DOI: 10.3233/JCM-230016

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 1955-1970, 2024

Authors: Zhang, Ranran

Article Type: Research Article

Abstract: As a booster of the national economy and a catalyst of industrial development, the logistics industry uniquely maintains stable economic operations and promotes industrial structural adjustment. The development of China’s logistics industry has broadened the international market and accelerated the exchange and cooperation of logistics industries between different countries. The “Belt & Road Initiative” will continue to provide impetus for the development of China’s logistics industry, which can guarantee the infrastructure interconnection of the logistics industry and ensure the fundamental implementation of the initiative. Based on theoretical analysis and the panel data of 30 provinces in China during 2005–2020, whether …the “Belt & Road Initiative” had obvious policy effects on regional logistics development in China was analyzed. The empirical research results showed that the “Belt & Road Initiative” could accelerate the high-quality development of the logistics industry in the provinces along the route during the research period. Industrial proportion, per capita GDP, import and export amount of goods, investment in fixed assets of the whole society, and science and technology input positively affected the development of regional logistics industries. The regression coefficient of the energy structure in the logistics industry was negative but not significant. The research results have important decision-making reference values in promoting the regional advantages of modern logistics industries, promoting the convenience of logistics trade, improving the scientific and technological level of the logistics industry, and using other exogenous policy variables to boost the high-quality development of modern logistics industries under the background of the “Belt & Road Initiative”. Show more

Keywords: Difference-in-difference model, “Belt & Road Initiative”, regional logistics, regional economy, policy effect, effect evaluation

DOI: 10.3233/JCM-230017

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 1971-1980, 2024

Authors: Lan, Jiahao | Du, Yunchao

Article Type: Research Article

Abstract: Water resources carrying capacity refers to the ability of the water resources ecosystem to continuously carry the coordination relationship between human society and economy in the normal development process of a country or a region. Its self-sustaining ability, self-regulation and self-development potential often hinder sustainable development in water shortage areas. Research on water resources’ carrying capacity is a meaningful way to support regional water resources security and realize harmonious development of society, economy, and ecological environment. Correct assessment of water carrying capacity and response to government policies will contribute to improved water use and sustainable economic and social development. This …study first sorts out the relevant questionnaires of water resources carrying capacity level evaluation, proposes the evaluation indicators of water resources carrying capacity level, collects and standardizes the required data, and calculates the weight of each evaluation index by entropy weight method. Then, it calculates the comprehensive evaluation value of China’s water resources carrying capacity from 2012 to 2022 in the TOPSIS model. The results show that the total afforestation area, total investment in environmental pollution control, and total industrial wastewater discharge are the third most important factors in improving the carrying capacity of water resources. From 2003 to 2010, China’s water resources carrying capacity improved year by year. From 2011 to 2021, China’s water resources carrying capacity remained stable year by year. The continuous adjustment of China’s industrial structure and strengthening environmental pollution control are inevitable measures to improve the carrying capacity of China’s water resources. This study provides a scientific basis for exploring the changing trend of China’s water resources carrying capacity and formulating reasonable optimal allocation of water resources. It also has great significance for promoting China’s water resources’ carrying capacity and sustainable development of the social economy and ecological environment. Show more

Keywords: Entropy weight TOPSIS, water resources of China, water resources carrying capacity, evaluation study

DOI: 10.3233/JCM-230018

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 1981-1991, 2024

Authors: Sun, He | Cai, Qiang

Article Type: Research Article

Abstract: Emergency material security is the key to post-disaster emergency relief in complex environment engineering construction projects. Aiming at the emergency logistics center site path planning problem, the uncertain parameters of congestion time and maximum rescue time are described using trapezoidal fuzzy numbers, and the emergency logistics site path model of the two-phase engineering construction project is established. A quantum particle swarm optimization model is designed to avoid premature population convergence and maintain population diversity. The particle swarm algorithm uses the quantum spin gate’s rotation angle update to represent the particle velocity update. Taking the engineering construction project in the western …mountainous area as an example, the validity and applicability of the model are verified through model comparison and sensitivity analysis. The results of the example show that in the complex environment, the quantum particle swarm algorithm takes 29.35 s in convergence time, and the particle swarm algorithm takes 40.12 s, which is 36.69% higher than the efficiency of PSO. In total cost, the quantum particle swarm algorithm has a total cost of 46,632.40 RMB, and the particle swarm algorithm has a total cost of 48,319.51 RMB, which is 3.62% lower than the cost of PSO. The quantum particle swarm algorithm’s total distance is 550.57 km, and the particle swarm algorithm’s total distance is 579.35 km, 5.23% lower than the total distance of PSO. The model established in this study can scientifically select the location of emergency facilities and formulate the emergency rescue path, reduce the response time of emergency rescue and storage costs, and provide decision support for the scheduling of emergency supplies for engineering construction projects in complex and dangerous areas. Show more

Keywords: Siting-path problem, engineering construction projects, emergency logistics, road congestio

DOI: 10.3233/JCM-230019

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 1993-2005, 2024

Authors: Liu, Wei

Article Type: Research Article

Abstract: This paper proposes a detection method for countering strategic attacks in zero-boundary trusted networks. In a normal network, malicious nodes are only a minority; therefore, this paper employs a simple game-theoretic approach to suppress the occurrence of malicious events. Firstly, the paper introduces a behavior-based event inference method to detect malicious events, wherein nodes reference the inference results of other nodes to form composite reports. Subsequently, the paper introduces a simple game, allowing malicious nodes to choose not to falsify reports under disadvantaged scenarios, reaching a Bayesian equilibrium with normal nodes, thereby reducing the incidence of malicious events. This method …demonstrates significant effectiveness in conventional networks where malicious nodes constitute a minority. Show more

Keywords: Trusted networks, attack detection, simple game

DOI: 10.3233/JCM-230020

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 2007-2015, 2024

Authors: Chung, Yao-Liang | Wu, Zheng-Lin | Pichappan, Pit

Article Type: Research Article

Abstract: Since its inception, the stock market has been a topic of considerable interest. Its variation and the complexity of integrating technology into the stock market have made it difficult for stock market trends to be fully understood. Various metrics and analytical approaches have been proposed in response to such changes, ranging from purely technical metrics to hardware upgrades. The widespread application of deep learning in the stock market, from basic metrics (opening price, closing price, highest price, lowest price, trading volume) to machine learning in sentiment analysis, further increases the possibility of increasing profits. Some front-end techniques, such as noise …reduction through mathematical models, enhance the accuracy of deep learning models. However, few studies have centered on predicting long-term stock price changes. The traditional moving average (MA) cannot rapidly reflect drastic changes on its curve even though it can display trends; therefore, this study proposes an MA-based approach that improves the 200-day MA such that its delayed response to actual prices in real-time can be overcome. This deep learning model training was performed by combining 200-day MA data with two other types of MA data, thereby creating a new approach to metric analysis. The sample consisted of stocks of 13 Taiwanese companies with a high market cap: Taiwan Semiconductor Manufacturing Co., Ltd., MediaTek Inc., Chunghwa Telecom Co., Ltd., Fubon Financial Holding Co., Ltd., Cathay Financial Holding Co., Ltd., Nan Ya Plastics Corp., United Microelectronics Corp., Delta Electronics, Inc., CTBC Financial Holding Co., Ltd., Mega Financial Holding Co., Ltd., Formosa Chemicals & Fibre Corp., Hon Hai Precision Industry Co., Ltd., and Formosa Plastics Corp. Through multiple evaluation metrics, the experimental results revealed that the proposed model performed better in general than the traditional MA model for all stocks. Show more

Keywords: Deep learning, moving average, Taiwanese stocks, stock market, long-term trends, evaluation metrics

DOI: 10.3233/JCM-230021

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 2017-2035, 2024

Authors: Li, Zheng | Deng, Yiwen

Article Type: Research Article

Abstract: Marked by artificial intelligence, big data, cloud computing, revolutionary biotechnology, etc., the fourth scientific and technological revolution and industrial revolution are accelerated. In this new situation, China’s higher engineering education is increasingly closely related to the Industrial Revolution, and it is urgent to train new engineering talents with innovation and entrepreneurship abilities, cross-border integration abilities and comprehensive quality to meet the needs of economic and social development. Entrepreneurial engineering talents have become an important force in promoting industrial progress and social development. Training entrepreneurial engineering talents takes engineering practice training as the driving force of teaching reform. To conduct more …scientific and effective evaluation research on college students’ engineering entrepreneurship ability, this study proposes the TOPSIS method based on combining CRITIC and entropy weight methods. It constructs a comprehensive evaluation index system of college students’ engineering entrepreneurship ability composed of 21 indexes from four dimensions, including self-motivation ability, team management ability, technical management ability and market management ability. A questionnaire based survey was conducted among 360 college students in 6 Zhejiang Province, China universities. The results show that the improved TOPSIS model proposed in this study can make weight determination more scientific and reasonable. The improved TOPSIS model can effectively distinguish the level of engineering entrepreneurship ability of different college students. The engineering entrepreneurship ability of the students in the six universities is generally at the middle level. The years of engineering education significantly affect technical management ability (F = 4.455, p = 0.004) and market management ability (F = 19.174, p = 0.000) at a 1% level. The research conclusion has important reference value for developing engineering entrepreneurship’s curriculum and practical activity systems based on the ability structure, constructing the entrepreneurship teacher system, and strengthening the cross-departmental cooperation, coordination and integration of engineering entrepreneurship education in schools. Show more

Keywords: Improved TOPSIS model, college students, engineering entrepreneurship ability, comprehensive evaluation, analysis of variance

DOI: 10.3233/JCM-230022

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 2037-2047, 2024

Authors: Lu, Sumei

Article Type: Research Article

Abstract: Aiming at the problem of logistics competitiveness of coastal cities, a logistics competitiveness evaluation method based on weighted and partially ordered set combinations is proposed. Carbon emissions and inhalable pollutant concentrations are included in the evaluation scope, and an evaluation index system for the logistics competitiveness of 17 coastal port cities is constructed. The results show that: (1) the competitiveness of the logistics industry in 17 coastal port cities in China has been continuously improved, and the catch-up effect of logistics industry development in coastal port cities such as Shenzhen, Ningbo and Qingdao is obvious. The competitiveness level of the …logistics industry shows an obvious spatial imbalance. (2) The competitiveness of the logistics industry in Yingkou, Beibu Gulf and other coastal port cities is low, and the difference in competitiveness of the logistics industry in coastal port cities is the main reason for the overall imbalance. (3) The technological innovation, openness and economic development level of the city and the hinterland have a positive impact on the competitiveness of the logistics industry, and the level of economic development has the greatest contribution to the variance of the competitiveness of the logistics industry. The logistics competitiveness of 17 cities is ranked and classified. The leading cities have core diffusion effects and promote the development of the competitiveness of each city. Suggestions on improving the competitiveness of cities are conducive to the high-quality development of China’s logistics industry. Show more

Keywords: Green logistics, partially ordered set, combination weighting, Hasse diagram

DOI: 10.3233/JCM-230023

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 2049-2060, 2024

Authors: Sun, Lingxiu | Rui, Mao

Article Type: Research Article

Abstract: In today’s world, optimization problems are becoming increasingly prominent, and the progress in optimization technologies can not only bring considerable economic benefits but also highlight their outstanding social value, making significant contributions to the sustainable development of the ecological environment. Due to their educational positioning and disciplinary development needs, local application-oriented universities overlook the optimization and development of ideological and political theory courses in their growth, leading to lagging reforms in ideological and political education and suboptimal teaching outcomes. To enhance the teaching effects of ideological and political courses in local application-oriented universities, it is essential to scientifically design class …contents, actively carry out practical teaching, adapt to the needs of the times, build an “Internet + Ideological and Political Courses” online teaching platform, and continuously innovate teaching modes of ideological and political courses. Show more

Keywords: Ideological and political education, online teaching, particle swarm computation, multi-objective optimization

DOI: 10.3233/JCM-230024

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 2061-2067, 2024