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

AI can rifle through enormous libraries of information to connect far-flung ideas—conceptual leaps remain a purely human skill. The planar unit distance problem, or Erdős problem 90, has intrigued ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--Agilent Technologies Inc. (NYSE: A) today announced the release of a new multi-attribute method (MAM) workflow designed to help pharmaceutical and ...

SACRAMENTO, Calif.--(BUSINESS WIRE)--Inszone Insurance Services, a rapidly growing national provider of commercial, personal, and benefits insurance, is pleased to announce its entry into the Florida ...

Abstract: The Traveling Salesman Problem (TSP), a classic combinatorial optimization problem, has been extensively studied for many years. Recently, the Multi-solution Traveling Salesman Problem ...

We just can’t seem to help ourselves. Our current infatuation with multi-agent systems risks mistaking a useful pattern for an inevitable future, just as we once did with microservices. Remember those ...

Many real-world applications for complex industrial engineering or design problems can be modelled as optimisation problems. These problems often have features such as multi-modality (multiple optimal ...

Agent memory remains a problem that enterprises want to fix, as agents forget some instructions or conversations the longer they run. Anthropic believes it has solved this issue for its Claude Agent ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, ...

This project includes two Rubik's Cube solvers, an optimal solver, and a Two-Phase / Kociemba's algorithm solver. The optimal solver takes an average of around 60 seconds to find a minimal length ...