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Artificial Bee Colony ABC is one of the most recently introduced algorithms based on the intelligent foraging behavior of a honey bee swarm. This paper presents an extended ABC algorithm, namely, the Cooperative Article Bee Colony CABC, which significantly improves the original ABC in solving complex optimization problems. Clustering is a popular data(More)
Bacterial Foraging Algorithm BFO is a recently proposed swarm intelligence algorithm inspired by the foraging and chemotactic phenomenon of bacteria. However, its optimization ability is not so good compared with other classic algorithms as it has several shortages. This paper presents an improved BFO Algorithm. In the new algorithm, a lifecycle model of(More)
Keywords: Symbiosis Multi-species coevolution Species extinction and speciation PSO PS 2 O a b s t r a c t This paper presents a general optimization model gleaned ideas from the coevolution of symbiotic species in natural ecosystems. Species extinction and speciation events are also considered in this model to tie it closer to natural evolution, as well as(More)
Artificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm intelligence algorithms which inspired by the foraging behavior of honey bee swarms. It has been widely used in numerical and engineering optimization problems. This paper presents a hybrid artificial bee colony (HABC) model to improve the canonical ABC algorithm. The main(More)
Multi-objective optimization has been a difficult problem and focus for research in fields of science and engineering. This paper presents a novel algorithm based on Artificial Bee Colony (ABC) to deal with multi-objective optimization problems. ABC is one of the most recently introduced algorithms based on the intelligent foraging behavior of a honey bee(More)