A new artificial bee colony based on neighbourhood selection. (28th June 2019)

• Record Type: Journal Article
• Authors: Xiong, Xiaoyan; Tang, Jun
• Is Part Of: International journal of innovative computing and applications. Volume 10:Number 1(2019)
• Page Start: 12
• Page End: 17
• Publication Date: 2019-06-28
• Subjects: artificial bee colony -- ABC -- neighbourhood selection -- opposition -- global optimisation; Evolutionary computation -- Periodicals; Neural networks (Computer science) -- Periodicals; Genetic programming (Computer science) -- Periodicals; Biologically-inspired computing -- Periodicals; Swarm intelligence -- Periodicals; Quantum computers -- Periodicals; 006.3
• Languages: English
• ISSNs: 1751-648X

Abstract

In this paper, we present a new artificial bee colony (ABC) for solving numerical optimisation problems. In the original ABC, a new candidate solution is generated based on the current solution and a randomly selected one. However, the random selection method is unstable. To accelerate the search, a new neighbourhood selection is proposed. For each current solution, we firstly randomly select some solutions from the current population. Then, we choose the best one among those solutions as the neighbourhood solution to generate new solutions. To verify the performance, we test several classical numerical optimisation problems. Simulation results show that our approach outperforms the original ABC and some improved ABC versions.