Welcome to Advances Smart Computing Research Group, KKU
Nestled in the vibrant heart of Northeastern Thailand, the Advances Smart Computing Research Group (ASC) at Khon
Kaen
University (KKU) stands as a cornerstone of innovation and academic excellence. This esteemed collective of scholars
and
researchers is at the forefront of driving advancements in computational technologies and methodologies, making
significant strides within the realms of computer science and artificial intelligence.
The Advances Smart Computing Research Group is not merely focused on theoretical exploration; it is deeply engaged
in applying its findings to solve real-world problems. Through collaboration with industry partners and contribution
to academic discourse, the group plays a pivotal role in the global smart computing landscape. Its efforts in
machine learning, soft computing, evolutionary computing, and AI are setting the stage for a future where technology
not only complements but also amplifies human potential. Situated at Khon Kaen University, this group is not just
shaping the future of technology in Thailand but is also making a mark on the international stage, fostering a world
where innovation and human ingenuity flourish together.
Evo-Algorithm Radar
1 A Gartner Magic Quadrant represents a synthesis of extensive research within a specific market, providing a comprehensive overview of competitors' relative positions. 2 The Evo-Algorithm Radar provides a concise, visual summary of algorithm performance across multiple benchmark functions (CEC2017: F1, F2–F30) and dimensions (10, 30, 50, 100). It enables quick evaluation and comparative analysis of optimization algorithms. 3 Last Updated: April 21, 2025
Featured research
2025 Computationally Reproducible Collection
Enhanced Adaptive Smell Agent Optimization: Leveraging Fusion Besiege Attack and Probabilistic Switching Mechanism for Constrained Optimization Tasks
Joint Opposite Selection (JOS): A premiere joint of selective leading opposition and dynamic opposite enhanced
Harris’ hawks optimization for solving single-objective problems