Journal Article

Innovations in mathematical modeling, AI, and optimization techniques

Yasuo, Nobuaki, Takata, Masami, Ohue, Masahito

2025

Overview

This special issue is dedicated to examining the rapidly evolving fields of artificial intelligence, mathematical modeling, and optimization, with particular emphasis on their growing importance in computational science. It features the most notable papers from the \"Mathematical Modeling and Problem Solving\" workshop at PDPTA'24, the 30th International Conference on Parallel and Distributed Processing Techniques and Applications. The issue showcases pioneering research in areas such as natural language processing, system optimization, and high-performance computing. The nine selected studies include novel AI-driven methods for chemical compound generation, historical text recognition, and music recommendation, along with advancements in hardware optimization through reconfigurable accelerators and vector register sharing. Additionally, evolutionary and hyper-heuristic algorithms are explored for sophisticated problem-solving in engineering design, and innovative techniques are introduced for high-speed numerical methods in large-scale systems. Collectively, these contributions demonstrate the significance of AI, supercomputing, and advanced algorithms in driving the next generation of scientific discovery.

• Publisher: Springer US,Springer Nature B.V
• Subject: Aircraft / Artificial intelligence / Chemical compounds / Compilers / Computer Science / Cultural heritage / Design engineering / Distributed processing / Efficiency / Evolutionary algorithms / Heuristic / Heuristic methods / High performance computing / Innovations / Interpreters / Machine learning / Modelling / Natural language processing / Natural products / Numerical analysis / Numerical methods / Optimization / Optimization algorithms / Optimization techniques / Problem solving / Processor Architectures / Programming Languages / Recommender systems / Reconfigurable hardware / Simulation