Accelerating Artificial Bee Colony Algorithm with Neighborhood Search
Accelerating Artificial Bee Colony Algorithm with Neighborhood Search
Xianneng Li, Huiyan Yang, Meihua Yang, Xian Yang and Guangfei Yang
Xianneng Li, Huiyan Yang, Meihua Yang, Xian Yang and Guangfei Yang
Dalian University of Technology, China
Dalian University of Technology, China
Dalian University of Technology, China
Dalian University of Technology, China
Dalian University of Technology, China
Dalian University of Technology, China
Dalian University of Technology, China
Dalian University of Technology, China
Dalian University of Technology, China
Dalian University of Technology, China
In this paper, we integrate variable neighborhood search (VNS) into artificial
bee colony (ABC) algorithm so that the search ability under variable neighb
neighborhood
structures and local search is accelerated. Two VNS methods, including the
reduced VNS and basic VNS, are integrated to develop different versions. The
proposed algorithm, named variable neighborhood ABC (VNABC), is verified in a
comprehensive set of benchmark functions. The experimental results confirm that
VNABC outperforms the state-of-the-art ABC and differential evolution (DE)
algorithms in terms of the convergence speed.
