Zhenfu Zhang¹, Haiyan Yin², Liudong Zuo³, Pan Lai^1,*

CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 919-936, 2025, DOI:10.32604/cmc.2025.062980 - 09 June 2025

Abstract The knapsack problem is a classical combinatorial optimization problem widely encountered in areas such as logistics, resource allocation, and portfolio optimization. Traditional methods, including dynamic programming (DP) and greedy algorithms, have been effective in solving small problem instances but often struggle with scalability and efficiency as the problem size increases. DP, for instance, has exponential time complexity and can become computationally prohibitive for large problem instances. On the other hand, greedy algorithms offer faster solutions but may not always yield the optimal results, especially when the problem involves complex constraints or large numbers of items.… More >

Qiulan Gu^1,2, Mei Zhao^1,2,*

International Journal of Mental Health Promotion, Vol.27, No.5, pp. 607-623, 2025, DOI:10.32604/ijmhp.2025.062796 - 05 June 2025

Abstract Objectives: With the widespread adoption of smartphones, parental phubbing behaviors have become increasingly prevalent, potentially affecting preschool children’s development. Current research primarily focuses on adolescent populations, while the mechanisms through which parental phubbing and authoritarian parenting style influence preschool children’s behavioral problems within the Chinese cultural context remain to be explored. Our investigation seeks to examine the factors contributing to behavioral difficulties among children of preschool age and provide theoretical guidance for prevention. Methods: In our research, we utilized a convenience sampling approach to collect data from parents whose children (n = 612) were between… More >

Muhammad Sarwar^1,2,*, Rafiq Alam¹, Kamaleldin Abodayeh^2,*, Saowaluck Chasreechai^3,4, Thanin Sitthiwirattham^4,5

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 2213-2236, 2025, DOI:10.32604/cmes.2025.062139 - 30 May 2025

Abstract In this manuscript, the notion of a hesitant fuzzy soft fixed point is introduced. Using this notion and the concept of Suzuki-type ()-weak contraction for hesitant fuzzy soft set valued-mapping, some fixed point results are established in the framework of metric spaces. Based on the presented work, some examples reflecting decision-making problems related to real life are also solved. The suggested method’s flexibility and efficacy compared to conventional techniques are demonstrated in decision-making situations involving uncertainty, such as choosing the best options in multi-criteria settings. We noted that the presented work combines and generalizes two More >

Song Gao, Shixin Liu^*

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5623-5641, 2025, DOI:10.32604/cmc.2025.058334 - 19 May 2025

Abstract With the development of economic globalization, distributed manufacturing is becoming more and more prevalent. Recently, integrated scheduling of distributed production and assembly has captured much concern. This research studies a distributed flexible job shop scheduling problem with assembly operations. Firstly, a mixed integer programming model is formulated to minimize the maximum completion time. Secondly, a Q-learning-assisted co-evolutionary algorithm is presented to solve the model: (1) Multiple populations are developed to seek required decisions simultaneously; (2) An encoding and decoding method based on problem features is applied to represent individuals; (3) A hybrid approach of heuristic… More >

Xiang Shi^1,2,3, Ju Feng^1,2,3, Ming Gong^1,2,3, Yingxiu Chen^1,2,3, Jianyong Chen^1,2,3,*

Journal of Psychology in Africa, Vol.35, No.1, pp. 143-150, 2025, DOI:10.32604/jpa.2025.065772 - 30 April 2025

Abstract While the relation between shyness and problematic social media use (PSMU) among adolescents has been established, the mediating and moderating mechanisms underlying this association remain largely unexplored. The present study examined whether psychological insecurity mediated the association between shyness and adolescents’ PSMU and whether this mediation was moderated by relational-interdependent self-construal (RISC). A total of 1506 Chinese adolescents (M_age = 13.74 years, SD = 0.98) filled out self-report measures of shyness, psychological insecurity, RISC, and PSMU. SPSS (version 23.0) and the PROCESS macro (version 4.1) were employed to test the proposed model. Mediation analyses indicated that… More >

Haohan Zhao¹, Xingchen Zhu², Wencan Li^3,*, Xin Lin^4,*

International Journal of Mental Health Promotion, Vol.27, No.4, pp. 517-540, 2025, DOI:10.32604/ijmhp.2025.062739 - 30 April 2025

Abstract Background: Despite increasing attention to parental educational anxiety in China’s educational system, the underlying mechanisms through which this anxiety affects adolescent academic performance remain unclear. This study aims to investigate how parental educational anxiety influences academic outcomes through depression and self-efficacy while considering the role of problematic social media use in today’s digital age. Methods: Data analysis was conducted using stratified random cluster sampling techniques. Participants for this study were recruited from middle and high schools in China. The sample comprised 2579 traditional two-parent families, each consisting of a pair of parents and one child.… More >

Tareq Hamadneh¹, Belal Batiha², Omar Alsayyed³, Widi Aribowo⁴, Zeinab Montazeri⁵, Mohammad Dehghani^5,*, Frank Werner^6,*, Haider Ali⁷, Riyadh Kareem Jawad⁸, Ibraheem Kasim Ibraheem⁹, Kei Eguchi¹⁰

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2677-2718, 2025, DOI:10.32604/cmc.2025.064087 - 16 April 2025

Abstract In this study, a completely different approach to optimization is introduced through the development of a novel metaheuristic algorithm called the Barber Optimization Algorithm (BaOA). Inspired by the human interactions between barbers and customers, BaOA captures two key processes: the customer’s selection of a hairstyle and the detailed refinement during the haircut. These processes are translated into a mathematical framework that forms the foundation of BaOA, consisting of two critical phases: exploration, representing the creative selection process, and exploitation, which focuses on refining details for optimization. The performance of BaOA is evaluated using 52 standard… More >

Elaine Yi-Ling Wu^*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 1185-1214, 2025, DOI:10.32604/cmes.2025.064636 - 11 April 2025

Abstract Hybrid renewable energy systems (HRES) offer cost-effectiveness, low-emission power solutions, and reduced dependence on fossil fuels. However, the renewable energy allocation problem remains challenging due to complex system interactions and multiple operational constraints. This study develops a novel Multi-Neighborhood Enhanced Harris Hawks Optimization (MNEHHO) algorithm to address the allocation of HRES components. The proposed approach integrates key technical parameters, including charge-discharge efficiency, storage device configurations, and renewable energy fraction. We formulate a comprehensive mathematical model that simultaneously minimizes levelized energy costs and pollutant emissions while maintaining system reliability. The MNEHHO algorithm employs multiple neighborhood structures… More >

Nour Elhouda Chalabi¹, Abdelouahab Attia², Abdulaziz S. Almazyad³, Ali Wagdy Mohamed^4,5, Frank Werner⁶, Pradeep Jangir⁷, Mohammad Shokouhifar^8,9,*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 967-1008, 2025, DOI:10.32604/cmes.2025.062332 - 11 April 2025

Abstract Multi-objective optimization is critical for problem-solving in engineering, economics, and AI. This study introduces the Multi-Objective Chef-Based Optimization Algorithm (MOCBOA), an upgraded version of the Chef-Based Optimization Algorithm (CBOA) that addresses distinct objectives. Our approach is unique in systematically examining four dominance relations—Pareto, Epsilon, Cone-epsilon, and Strengthened dominance—to evaluate their influence on sustaining solution variety and driving convergence toward the Pareto front. Our comparison investigation, which was conducted on fifty test problems from the CEC 2021 benchmark and applied to areas such as chemical engineering, mechanical design, and power systems, reveals that the dominance approach More >

Kuo Li^1,*, Aimin Wang¹, Limin Wang¹, Yuetan Zhao¹, Xinyu Zhu²

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 617-637, 2025, DOI:10.32604/cmes.2025.061242 - 11 April 2025

Abstract A Bayesian network reconstruction method based on norm minimization is proposed to address the sparsity and iterative divergence issues in network reconstruction caused by noise and missing values. This method achieves precise adjustment of the network structure by constructing a preliminary random network model and introducing small-world network characteristics and combines L1 norm minimization regularization techniques to control model complexity and optimize the inference process of variable dependencies. In the experiment of game network reconstruction, when the success rate of the L1 norm minimization model’s existence connection reconstruction reaches 100%, the minimum data required is… More >