The dragonfly algorithm is a nature-inspired metaheuristic that mimics the static and dynamic swarming behaviours of dragonflies in prey hunting and predator evasion. Since its introduction, it has ...

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

A new two-stage differential evolution algorithm that borrows the foraging behavior of squirrels outperforms leading ...

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 ...

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, ...

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 ...