Based on dimensional memory mechanism and adaptive elite population, this paper
proposes a satisfactory and efficient artificial bee colony algorithm (DMABC_elite) to solve …

Artificial bee colony (ABC) algorithm is a relatively new paradigm of swarm intelligence
based optimization technique, which has attracted a lot of attention for its simple structure …

Artificial bee colony (ABC) is a very effective and efficient swarm-based intelligence
optimization algorithm, which has attracted a lot of attention in the community of evolutionary …

Artificial bee colony is a powerful optimization method, which has strong search abilities to
solve many optimization problems. However, some studies proved that ABC has poor …

Artificial bee colony (ABC) can effectively solve some complex optimization problems.
However, its convergence speed is slow and the exploitation capacity is insufficient at the …

Artificial bee colony (ABC) can effectively solve some complex optimization problems.
However, its convergence speed is slow and its exploitation capacity is insufficient at the last …

As a relatively new paradigm of evolutionary algorithms, artificial bee colony (ABC)
algorithm has shown attractive performance in solving optimization problems. However, for …

From the perspective of psychology, a modified artificial bee colony algorithm (ABC, for
short) based on adaptive search equation and extended memory (ABCEM, for short) for …

Artificial bee colony (ABC) is one of the most popular swarm intelligence optimization
algorithms which have been widely used in numerical optimization and engineering …

As a newly developed metaheuristic algorithm, the artificial bee colony (ABC) has garnered
a lot of interest because of its strong exploration ability and easy implementation. However …