Research Article
Practical Topology Optimization with Deep Reinforcement Learning and Genetic Algorithms
Giorgi Tskhondia*
Issue:
Volume 12, Issue 1, March 2026
Pages:
1-9
Received:
6 January 2026
Accepted:
14 January 2026
Published:
27 January 2026
Abstract: Despite the rapid adoption of Large Language Models across many domains, identifying artificial intelligence applications that deliver clear, high-impact value in industrial engineering remains a significant challenge. This work addresses that gap by presenting a comprehensive topology optimization framework tailored for engineering design problems, integrating deep reinforcement learning (DRL), genetic algorithms (GA), and finite element methods (FEM). The proposed framework makes several key contributions. First, it demonstrates substantial performance improvements by achieving a 12×12 grid resolution in two-dimensional topology optimization using a purely DRL-based approach, enabled by carefully designed smart reward shaping strategies. Second, it introduces a hybrid DRL–GA methodology that leverages the complementary strengths of learning-based exploration and evolutionary optimization, resulting in consistently improved solutions compared to standalone DRL. Third, the framework addresses dimensionality scaling challenges by proposing a novel “pseudo-3D” Euclidean space formulation based on a multi-objective optimization strategy. Through a systematic 2D deconstruction approach, this enables effective optimization at a 15×15 grid resolution while mitigating the computational burden of full 3D simulations. Finally, the practical relevance of the framework is validated through an applied engineering case study: the design and optimization of a rocket nozzle. This application highlights the framework’s potential for real-world, high-value industrial use cases.
Abstract: Despite the rapid adoption of Large Language Models across many domains, identifying artificial intelligence applications that deliver clear, high-impact value in industrial engineering remains a significant challenge. This work addresses that gap by presenting a comprehensive topology optimization framework tailored for engineering design problems...
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Research Article
Organizational Culture and Job Satisfaction of Teachers at Panabo City National High School
Lawrence Edward Zamora*
Issue:
Volume 12, Issue 1, March 2026
Pages:
10-18
Received:
11 December 2025
Accepted:
12 January 2026
Published:
30 January 2026
DOI:
10.11648/j.ajasr.20261201.12
Downloads:
Views:
Abstract: This study examined the significant relationship between organizational culture and job satisfaction among employees of Panabo City National High School during the academic year 2025–2026. Specifically, it sought to determine the level of organizational culture and job satisfaction, establish the relationship between these two variables, and identify which domain of organizational culture most strongly influences employees’ job satisfaction. The study employed a quantitative, non-experimental research design using a descriptive-correlational approach. Data were collected from both teaching and non-teaching personnel through standardized and researcher-adapted survey questionnaires that were validated for reliability and appropriateness to the study context. Descriptive statistical tools were utilized to determine the levels of organizational culture and job satisfaction, while inferential statistical analyses were applied to examine the relationship between the two variables and identify significant predictors. Results revealed that organizational culture and job satisfaction were both rated at a very high level, indicating a positive work environment and a high degree of employee contentment within the institution. Furthermore, findings confirmed a significant positive relationship between organizational culture and job satisfaction, suggesting that a supportive and well-defined organizational culture contributes meaningfully to employees’ overall satisfaction at work. Among the domains of organizational culture examined, bureaucratic culture emerged as the most significant predictor of employees’ job satisfaction. This result highlights the importance of clear structures, defined roles, established policies, and systematic procedures in fostering satisfaction among school personnel. The findings of this study provide valuable insights for school administrators and policymakers in strengthening organizational practices that enhance employee satisfaction, promote efficiency, and sustain a positive institutional climate. Overall, the study underscores the critical role of organizational culture in shaping job satisfaction within public secondary schools.
Abstract: This study examined the significant relationship between organizational culture and job satisfaction among employees of Panabo City National High School during the academic year 2025–2026. Specifically, it sought to determine the level of organizational culture and job satisfaction, establish the relationship between these two variables, and identi...
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