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 ...

Researchers have enhanced a rime-ice-inspired optimization algorithm with four adaptive strategies, achieving superior ...

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 ...

Researchers have developed two algorithms to help fleets of drones inspect electricity infrastructure more efficiently, ...

Metaheuristic optimizers occupy a curious space in the computational sciences: they are easy to describe, easy to implement, ...

Algorithms now make lots of decisions, but they have their own biases, writes Wharton’s Kartik Hosanagar in his new book. When we buy something on Amazon or watch something on Netflix, we think it’s ...

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 ...