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  • Open Access

    ARTICLE

    Graph Guide Diffusion Solvers with Noises for Travelling Salesman Problem

    Yan Kong1, Xinpeng Guo2, Chih-Hsien Hsia3,4,*

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.071269 - 12 January 2026

    Abstract With the development of technology, diffusion model-based solvers have shown significant promise in solving Combinatorial Optimization (CO) problems, particularly in tackling Non-deterministic Polynomial-time hard (NP-hard) problems such as the Traveling Salesman Problem (TSP). However, existing diffusion model-based solvers typically employ a fixed, uniform noise schedule (e.g., linear or cosine annealing) across all training instances, failing to fully account for the unique characteristics of each problem instance. To address this challenge, we present Graph-Guided Diffusion Solvers (GGDS), an enhanced method for improving graph-based diffusion models. GGDS leverages Graph Neural Networks (GNNs) to capture graph structural information… More >

  • Open Access

    ARTICLE

    Solving Multi-Depot Vehicle Routing Problems with Dynamic Customer Demand Using a Scheduling System TS-DPU Based on TS-ACO

    Tsu-Yang Wu1, Chengyuan Yu1, Yanan Zhao2, Saru Kumari3, Chien-Ming Chen1,*

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.069139 - 12 January 2026

    Abstract With the increasing complexity of logistics operations, traditional static vehicle routing models are no longer sufficient. In practice, customer demands often arise dynamically, and multi-depot systems are commonly used to improve efficiency. This paper first introduces a vehicle routing problem with the goal of minimizing operating costs in a multi-depot environment with dynamic demand. New customers appear in the delivery process at any time and are periodically optimized according to time slices. Then, we propose a scheduling system TS-DPU based on an improved ant colony algorithm TS-ACO to solve this problem. The classical ant colony More >

  • Open Access

    ARTICLE

    An Improved Variant of Multi-Population Cooperative Constrained Multi-Objective Optimization (MCCMO) for Multi-Objective Optimization Problem

    Muhammad Waqar Khan1,*, 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 >

  • Open Access

    ARTICLE

    Cooperative Metaheuristics with Dynamic Dimension Reduction for High-Dimensional Optimization Problems

    Junxiang Li1,2, Zhipeng Dong2, Ben Han3, Jianqiao Chen3, Xinxin Zhang1,2,*

    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 >

  • Open Access

    ARTICLE

    A Q-Learning Improved Particle Swarm Optimization for Aircraft Pulsating Assembly Line Scheduling Problem Considering Skilled Operator Allocation

    Xiaoyu Wen1,2, Haohao Liu1,2, Xinyu Zhang1,2, Haoqi Wang1,2, Yuyan Zhang1,2, Guoyong Ye1,2, Hongwen Xing3, Siren Liu3, Hao Li1,2,*

    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 >

  • Open Access

    ARTICLE

    A Dual-Attention CNN-BiLSTM Model for Network Intrusion Detection

    Zheng Zhang1,2, Jie Hao2, Liquan Chen1,*, 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 >

  • Open Access

    REVIEW

    Problematic internet use and substance use disorder among men: A scoping review

    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 >

  • Open Access

    ARTICLE

    State-Space Reduction Techniques Exploiting Specific Constraints for Quantum Search Initialization, Application to an Outage Planning Problem

    Rodolphe Griset1,#,*, Ioannis Lavdas2,§, 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 >

  • Open Access

    ARTICLE

    Fathers’ overprotective parenting and young children’s problem behaviors: Mediating by mothers’ overprotective attitudes and parenting stress

    Ruiqian Li1,*, 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 >

  • Open Access

    ARTICLE

    Examining the Influence of Psychological Factors on Mental Health Problems in Korean Adolescents

    Hakgweon Lee1, Youngho Kim2,*

    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 >

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