Muhammad Waqar Khan^1,*, Adnan Ahmed Siddiqui¹, Syed Sajjad Hussain Rizvi²

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-15, 2026, DOI:10.32604/cmc.2025.070858 - 09 December 2025

Abstract The multi-objective optimization problems, especially in constrained environments such as power distribution planning, demand robust strategies for discovering effective solutions. This work presents the improved variant of the Multi-population Cooperative Constrained Multi-Objective Optimization (MCCMO) Algorithm, termed Adaptive Diversity Preservation (ADP). This enhancement is primarily focused on the improvement of constraint handling strategies, local search integration, hybrid selection approaches, and adaptive parameter control. The improved variant was experimented on with the RWMOP50 power distribution system planning benchmark. As per the findings, the improved variant outperformed the original MCCMO across the eleven performance metrics, particularly in terms… More >

Junxiang Li^1,2, Zhipeng Dong², Ben Han³, Jianqiao Chen³, Xinxin Zhang^1,2,*

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-19, 2026, DOI:10.32604/cmc.2025.070816 - 10 November 2025

Abstract Owing to their global search capabilities and gradient-free operation, metaheuristic algorithms are widely applied to a wide range of optimization problems. However, their computational demands become prohibitive when tackling high-dimensional optimization challenges. To effectively address these challenges, this study introduces cooperative metaheuristics integrating dynamic dimension reduction (DR). Building upon particle swarm optimization (PSO) and differential evolution (DE), the proposed cooperative methods C-PSO and C-DE are developed. In the proposed methods, the modified principal components analysis (PCA) is utilized to reduce the dimension of design variables, thereby decreasing computational costs. The dynamic DR strategy implements periodic… More >

Xiaoyu Wen^1,2, Haohao Liu^1,2, Xinyu Zhang^1,2, Haoqi Wang^1,2, Yuyan Zhang^1,2, Guoyong Ye^1,2, Hongwen Xing³, Siren Liu³, Hao Li^1,2,*

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-27, 2026, DOI:10.32604/cmc.2025.069492 - 10 November 2025

Abstract Aircraft assembly is characterized by stringent precedence constraints, limited resource availability, spatial restrictions, and a high degree of manual intervention. These factors lead to considerable variability in operator workloads and significantly increase the complexity of scheduling. To address this challenge, this study investigates the Aircraft Pulsating Assembly Line Scheduling Problem (APALSP) under skilled operator allocation, with the objective of minimizing assembly completion time. A mathematical model considering skilled operator allocation is developed, and a Q-Learning improved Particle Swarm Optimization algorithm (QLPSO) is proposed. In the algorithm design, a reverse scheduling strategy is adopted to effectively… More >

Zheng Zhang^1,2, Jie Hao², Liquan Chen^1,*, Tianhao Hou², Yanan Liu²

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-22, 2026, DOI:10.32604/cmc.2025.068372 - 10 November 2025

Abstract With the increasing severity of network security threats, Network Intrusion Detection (NID) has become a key technology to ensure network security. To address the problem of low detection rate of traditional intrusion detection models, this paper proposes a Dual-Attention model for NID, which combines Convolutional Neural Network (CNN) and Bidirectional Long Short-Term Memory (BiLSTM) to design two modules: the FocusConV and the TempoNet module. The FocusConV module, which automatically adjusts and weights CNN extracted local features, focuses on local features that are more important for intrusion detection. The TempoNet module focuses on global information, identifies… More >

Liezille Jacobs^*, Miché Adolph

Journal of Psychology in Africa, Vol.35, No.6, pp. 761-769, 2025, DOI:10.32604/jpa.2025.065787 - 30 December 2025

Abstract This scoping review aimed to synthesise literature on problematic internet use and substance use disorder, including how they affect men, given that prior research has predominantly focused on women. The search included Web of Science, Psych Info, Science Direct, and Scopus spanning over the period 2014–2023. Studies were included for the review if they focused on Problematic Internet Use (PIU) and Substance Use Disorder (SUD) among men, were peer-reviewed, and were written in English. Opinions, discussions, and theoretical papers were excluded. Sixteen studies were included in this review. Data were synthesised through thematic analysis. Emergent More >

Rodolphe Griset^1,#,*, Ioannis Lavdas^2,§, Jiří Guth Jarkovský³

Journal of Quantum Computing, Vol.7, pp. 81-105, 2025, DOI:10.32604/jqc.2025.066064 - 08 December 2025

Abstract Quantum search has emerged as one of the most promising fields in quantum computing. State-of-the-art quantum search algorithms enable the search for specific elements in a distribution by monotonically increasing the density of these elements relative to the rest of the distribution. These kinds of algorithms demonstrate a theoretical quadratic speed-up on the number of queries compared to classical search algorithms in unstructured spaces. Unfortunately, the major part of the existing literature applies quantum search to problems whose size grows exponentially with the input size without exploiting any specific problem structure, rendering this kind of… More >

Ruiqian Li^1,*, Peibing Zheng¹, Mengxin Yan¹, Xinyi Zhou², Ziyu Wu¹, Yiting Wang¹

Journal of Psychology in Africa, Vol.35, No.5, pp. 681-688, 2025, DOI:10.32604/jpa.2025.069421 - 24 October 2025

Abstract This study examined the relationship between paternal overprotective parenting and problem behaviors of preschool children, and maternal overprotective attitudes and parenting stress mediation of that relationship. Data were collected from 265 families, including parents and preschool children (ages 3–6). The results revealed that paternal overprotective attitudes significantly influenced maternal overprotective attitudes and maternal parenting stress. Maternal overprotective attitudes, in turn, increased maternal parenting stress, exacerbated children’s problem behaviors. Paternal overprotective attitudes indirectly contributed to these behaviors through both maternal overprotective attitudes and parenting stress. The effect was more pronounced on boy than girl younger than More >

Hakgweon Lee¹, Youngho Kim^2,*

International Journal of Mental Health Promotion, Vol.27, No.9, pp. 1411-1421, 2025, DOI:10.32604/ijmhp.2025.069543 - 30 September 2025

Abstract Background: It has been broadly witnessed that a large number of adolescents are suffering emotional and mental health problems after COVID-19, and such adverse experiences in early life often extend into adulthood, resulting in serious long-term implications. However, it is accepted that the literature examining the relationship between mental health problems in adolescents and their underlying psychological factors is limited. The purposes of the current study were to identify mental health problems of Korean adolescents and to investigate the possible influence of self-esteem, self-efficacy, and health locus of control on mental health problems. Methods: A… More >

Qiufeng Gao¹, Yushu Feng¹, Changcheng Jiang¹, Yanshan Zhang^2,*, Ruixiang Gao^3,*

International Journal of Mental Health Promotion, Vol.27, No.9, pp. 1399-1410, 2025, DOI:10.32604/ijmhp.2025.067138 - 30 September 2025

Abstract Background: Fundamental internal factors like self-construal and its influence on problematic online game use (POGU) remain underexplored. Hence, this study aims to investigate the effects of independent and interdependent self-construal on POGU, with the mediation of basic psychological needs satisfaction. Methods: The study surveyed 418 Chinese junior high school students (50.24% male; Mean_age = 12.68, SD = 0.65), assessing their levels of self-construal, basic psychological needs satisfaction, and POGU. A parallel mediation model was tested. Results: The findings showed that autonomy and competence needs satisfaction fully mediated the negative impact of independent self-construal on POGU (B… More >

Yi Guan¹, Pengpeng Zhi^2,3,*, Zhonglai Wang^1,4,*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3343-3368, 2025, DOI:10.32604/cmes.2025.069515 - 30 September 2025

Abstract Variable-fidelity (VF) surrogate models have received increasing attention in engineering design optimization as they can approximate expensive high-fidelity (HF) simulations with reduced computational power. A key challenge to building a VF model is devising an adaptive model updating strategy that jointly selects additional low-fidelity (LF) and/or HF samples. The additional samples must enhance the model accuracy while maximizing the computational efficiency. We propose ISMA-VFEEI, a global optimization framework that integrates an Improved Slime-Mould Algorithm (ISMA) and a Variable-Fidelity Expected Extension Improvement (VFEEI) learning function to construct a VF surrogate model efficiently. First, A cost-aware VFEEI More >