Researchers have developed an importance-sampling-based black box variational inference algorithm that reuses earlier ...

OpenAI claims their AI-generated algorithm can solve certain hard computing problems faster. Mathematicians are organizing an ...

Linear programming (LP) is a mathematical optimization technique used to maximize or minimize a linear objective function subject to a set of linear constraints. The Simplex Method, developed by ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

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 ...

Research paper by Bjørnar Luteberget and Giorgio Sartor wins 2024 FICO® Xpress Best Paper Award; the algorithm is now in FICO® Xpress Solver “When solving a very large computational problem, ...

A hybrid particle swarm and evolutionary optimization algorithm uses multilevel thresholding to isolate green maize seedlings ...

The proposed algorithm combines variational scheduling with post-processing to achieve near-optimal solutions to combinatorial optimization problems with constraints within the operation time of ...