Recently, a research team from the Rudolf Technology Center in Slovenia proposed a new method to optimize the sparse subgraph problem, which has wide applications in fields such as network analysis ...

Primal methods constitute a common approach to solving (combinatorial) optimization problems. Starting from a given feasible solution, they successively produce new feasible solutions with ...

Almost weekly a friend or an acquaintance asks me, “I want to learn to code; which language should I start with?” More or less bi-weekly I get a DM on LinkedIn starting with, “My son should start ...

The Ant Colony Optimization (ACO) algorithm is a metaheuristic nature-inspired technique for solving various combinatorial optimization problems. The shortest-path problem is an important ...

When we nurture resourcefulness and independent thinking, we can trust in our team’s capacity to grapple with any of the many ...

Recently, a research team from Hokkaido University made significant progress in the complexity study of the Hitting Geodesic Intervals (HGI) problem. The HGI problem aims to find a small set of ...

A discovery about how algorithms can learn and retain information more efficiently offers potential insight into the brain's ability to absorb new knowledge. The findings could aid in combating ...

Opacity in AI is a formal, academic description of what is more commonly referred to as, "What the heck is the algorithm doing?" It's a problem that is at the root of many ethical issues with AI. It ...