Inspired by the foraging behavior of a honey bee colony, the artificial bee colony (ABC) algorithm is a relatively new population-based algorithm for solving complex optimization problems.

The optimization process is applied to solve regression models. An improved version of Artificial Bee Colony Optimization algorithm by adding levy flight distribution (ABC_LF) is used as the ...

Researchers from Inha University in South Korea have created a new grid-forming inverter concept based on the artificial bee colony (ABC) algorithm, which is an optimization algorithm based on the ...

Routific engineers drew inspiration from the "Bees Algorithm" – a heuristic in computer science that mimics the food foraging behavior of swarms of honey bees. A colony of honey bees must cover ...

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 ...

Writing in Polymers, a team of researchers from Rocket Force University of Engineering and Qingdao University of Science and Technology have published a paper investigating the use of artificial bee ...