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

Associated Article:
https://doi.org/10.1007/978-981-95-4409-7_17

Code Repository:
Code Ocean Code Ocean

2024 Computationally Reproducible Collection

Induced Partitioning for Incremental Feature Selection via Rough Set Theory and Long-tail Position Grey Wolf Optimizer

Associated Article:
https://doi.org/10.18267/j.aip.254

Code Repository:
Code Ocean Code Ocean

ACB-SAO: An Adaptive Smell Agent Optimization with Binomial Crossover and Linnik Flight for Engineering Optimization Problems

Associated Article:
https://doi.org/10.1109/ICSEC62781.2024.10770710

Code Repository:
MATLAB MATLAB File Exchange
GitHub GitHub
Code Ocean Code Ocean

Differentiated Creative Search (DCS): Leveraging differentiated knowledge-acquisition and creative realism to address complex optimization problems

Associated Article:
https://doi.org/10.1016/j.eswa.2024.123734

Code Repository:
MATLAB MATLAB File Exchange
GitHub GitHub
Code Ocean Code Ocean

2022 Computationally Reproducible Collection

Joint Opposite Selection (JOS): A premiere joint of selective leading opposition and dynamic opposite enhanced Harris’ hawks optimization for solving single-objective problems

Associated Article:
https://doi.org/10.1016/j.eswa.2021.116001

Code Repository:
MATLAB MATLAB File Exchange
GitHub GitHub