Abstract Particle Swarm Optimization (PSO) is a stochastic optimization approach that
originated from simulations of bird flocking, and that has been successfully used in many …

Artificial bee colony (ABC) optimisation algorithm is a relatively simple and recent population-
based probabilistic approach for global optimisation. The solution search equation of ABC is …

Nowadays, optimization problems with a few thousands of variables become more common.
Populationbased algorithms, such as Differential Evolution (DE), Particle Swarm …

Combinatorial optimization is a field that receives much attention in artificial intelligence.
Many problems of this type can be found in the literature, and a large number of techniques …

Several metaheuristics have been previously proposed and several improvements have
been implemented as well. Most of these methods were either inspired by nature or by the …

The algorithms that are inspired by the principles of natural biological evolution and
distributed collective behaviour of social colonies have shown excellence in dealing with …

Various evolutionary and nonevolutionary methods have been proposed in order to solve
complex search and optimization problems. Among these methods, a special place is …

As one of the most recent popular swarm intelligence techniques, artificial bee colony
algorithm is poor at exploitation and has some defects such as slow search speed, poor …

Abstract Artificial Bee Colony (ABC) is a Swarm Intelligence algorithm that has obtained
meta-heuristic researchers' attention and favor over recent years. It comprises good balance …

Sažetak Artificial Bee Colony (ABC) algorithm is a meta-heuristic algorithm, is inspired by
the bee's food search behaviour based on swarm intelligence. Successful applications were …