Year: 2014
Type: article
Abstract: The Artificial Bee Colony (ABC) algorithm is a swarm intelligence based algorithm, which simulate the foraging behavior of honey bee colonies.It has been widely applied to solve the real-world problem.However, ABC has good exploration but poor exploitation abilities, and its convergence speed is also an issue in some cases.In order to overcome these issues, this paper presents a new metaheuristic algorithm called Quantum Artificial Bee Colony (QABC) algorithm for global optimization problems inspired by quantum physics concepts.Simulations are conducted on a suite of unimodal/multimodal continuous benchmark functions.The results demonstrate the good performance of the QABC algorithm in solving complex numerical optimization problems when compared with other popular algorithms.
DOI: 10.5120/16244-5800
Authors: Nizar HadiAbbas, Haitham Saadoon Aftan
Institution: University of Baghdad
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W2165499906