ABSTRACT The Artificial Bee Colony (ABC) algorithm is a stochastic, population-based
evolutionary method proposed by Karaboga in the year 2005. ABC algorithm is simple and …

There is a shred of ample evidence that optimization is an enormous field that pervades
essentially every aspect of our day-to-day life ranging from academic and engineering fields …

In the current investigation, a new optimisation technique called mutable smart bee
algorithm (MSBA) is used for optimal design of real-life engineering systems that are …

Nowadays computers are used to solve a variety and multitude of complex problems facing
in every sphere of peoples' life. However, many of the problems are intractable in nature …

In this paper, an overviews of different application areas are discussed, where the Artificial
Bee Colony (ABC) optimization algorithm has applied. Artificial bee colony was introduced …

Data clustering has become one of the promising areas in data mining field. The algorithms,
such as K-means and FCM are traditionally used for clustering purpose. Recently, most of …

Bu çalışmada, kullanımı gittikçe yaygınlaşan Yapay Arı Kolonisi Algoritması kullanılarak ters
sarkacı denetleyen Oransal-İntegral-Türevsel kontrolcünün optimizasyonu yapılmıştır. Ters …

There is a trend in the scientific community to create and solve optimization models for
complex problems based on the life in nature, one of which is Artificial Bee Colony Algorithm …

Artificial bee colony (ABC) metaheuristic algorithm introduced by Karaboga was successfully
used on many continuous optimization problems. There is also a corresponding program …

This paper presents a modified Artificial Bee Colony (ABC) algorithm for constrained
problems. Original Karaboga's ABC algorithm was for unconstrained problems only and …