Why AI‑Driven Inventory Optimization Frameworks Are Replacing Traditional Planning Models

The shift toward AI-driven decision frameworks is not simply a technological trend but a fundamental necessity for life ...

Optimizing RNA design with AI and an Ising machine: Encoding matters

RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...
Communications of the ACM

Is Recursive Self-Improvement Really Here?

That admission is what some in the field call recursive self-improvement (RSI), the point at which large language models ...
Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
IEEE

Less Is More: A Small-Scale Learning Particle Swarm Optimization for Large-Scale Optimization

Abstract: Large-scale optimization problem (LSOP) is an essential research topic in the field of evolutionary computation community. Many large-scale optimization algorithms often maintain a large ...
IEEE

Machine-Learning-Assisted Swarm Intelligence Algorithm for Antenna Optimization With Mixed Continuous and Binary Variables

Abstract: Many existing surrogate-assisted optimization algorithms are limited to designing antennas with continuous variables only. However, numerous challenges emerge when tackling antenna ...