Over past few decades, families of algorithms based on the intelligent group behaviors of
social creatures like ants, birds, fishes, and bacteria have been extensively studied and …

Population diversity maintenance is a crucial task for preventing a particle swarm
optimization (PSO) algorithm from being trapped in local optima. A learning strategy is an …

This study proposes a novel binary version of the artificial bee colony algorithm based on
genetic operators (GB-ABC) such as crossover and swap to solve binary optimization …

Planning proper sports training has always been a very challenging task for coaches. In line
with this, they need to have almost two special abilities: firstly, to have a lot of earlier …

Gravitational search algorithm is an effective population-based algorithm. It simulates the
law of gravity to implement the interaction among particles. Although it can effectively …

Inspired by the fact that the division of labor and cooperation play extremely important roles
in the human history development, this paper develops a novel artificial bee colony …

Although the introduction of fuzzy theory into a portfolio selection model can help improve
the model's practicality, it would increase the difficulty of solving the model. To tackle the …

This paper introduces an Improved Artificial Bee Colony algorithm for modeling and
managing Micro Grid (MG) connected system. IABC differs from ABC because of its inclusion …

The artificial colony (ABC) algorithm shows a relatively powerful exploration search
capability but is constrained by the curse of dimensionality, especially on nonseparable …

Solar cells are one of the renewable energy sources that have been widely used. The
parameters extraction plays an important role in the speed and accuracy of models …