Abstract

This study is aimed to evaluate, analyze and compare the performances of available constrained Artificial Bee Colony (ABC) algorithms in the literature. In recent decades, many different variants of the ABC algorithms have been suggested to solve Constrained Optimization Problems (COPs). However, to the best of the authors' knowledge, there rarely are comparative studies on the numerical performance of those algorithms. This study is considering a set of well-known benchmark problems from test problems of Congress of Evolutionary Computation 2006 (CEC2006).

Keywords:

Artificial bee colony , constrained optimization, nature inspired algorithms , swarm intelligence,

References

Competing interests

The authors have no competing interests.

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Copyright

The authors have no competing interests.