About the Journal

The Journal of Intelligent Algorithms and Scientific Computing (JIASC) is an international, rigorously peer-reviewed academic journal committed to serving as a premier platform for disseminating cutting-edge research and comprehensive insights at the intersection of intelligent algorithms, computational mathematics, and their real-world applications in scientific and engineering domains. Its primary aim is to bridge theoretical innovations and practical implementations, fostering academic exchange and technological advancement among researchers, engineers, and scholars worldwide.

JIASC welcomes original research papers that present novel findings on intelligent algorithms—including but not limited to evolutionary algorithms, deep learning models, reinforcement learning frameworks, swarm intelligence, and fuzzy logic systems—such as algorithmic design, theoretical analysis, performance optimization, and complexity reduction.

The journal also covers foundational and applied research in computational mathematics, encompassing numerical analysis, computational geometry, numerical linear algebra, optimization theory, and probabilistic computing, with a focus on methods that enhance the efficiency, accuracy, and robustness of scientific computing.

Moreover, the journal covers computational modeling and simulation for sciences and engineering.

Furthermore, JIASC actively publishes high-quality survey or review articles that synthesize current research progress, identify emerging trends, and address existing challenges in the application of intelligent algorithms and computational mathematics to diverse fields, including physics (e.g., computational fluid dynamics, quantum computing), chemistry (e.g., computational molecular chemistry, computational spectroscopy, computational thermodynamics & kinetics), biology (e.g., bioinformatics, systems biology), engineering (e.g., aerospace design, civil engineering optimization, enhanced oil recovery), computer science (e.g., big data processing, machine learning systems), earth science (e.g., ocean modeling, hydrology, subsurface flow, reservior simulation), and environmental science (e.g., climate modeling, pollution prediction).

By prioritizing work that demonstrates both academic rigor and practical relevance, JIASC aims to advance the state of the art in its focus areas and drive impactful innovations that solve complex scientific and engineering problems.