Improved Self-adaptive Search Equation-based Artificial Bee Colony Algorithm with competitive local search strategy

2019 ◽  
Vol 51 ◽  
pp. 100582 ◽  
Author(s):  
Gürcan Yavuz ◽  
Doğan Aydın
Keyword(s):  
Local Search ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Search Strategy ◽  
Adaptive Search ◽  
Bee Colony ◽  
Local Search Strategy ◽  
Self Adaptive

A Memetic Artificial Bee Colony Algorithm for High Dimensional Problems

2020 ◽  
Vol 19 (01) ◽  
pp. 2050008
Author(s):  
Dongli Jia ◽  
Teng Li ◽  
Yufei Zhang ◽  
Haijiang Wang
Keyword(s):  
Local Search ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Search Space ◽  
Small Region ◽  
High Dimensional ◽  
Large Space ◽  
Bee Colony ◽  
Local Search Strategy

This work proposed a memetic version of Artificial Bee Colony algorithm, or called LSABC, which employed a “shrinking” local search strategy. By gradually shrinking the local search space along with the optimization process, the proposed LSABC algorithm randomly explores a large space in the early run time. This helps to avoid premature convergence. Then in the later evolution process, the LSABC finely exploits a small region around the current best solution to achieve a more accurate output value. The optimization behavior of the LSABC algorithm was studied and analyzed in the work. Compared with the classic ABC and several other state-of-the-art optimization algorithms, the LSABC shows a better performance in terms of convergence rate and quality of results for high-dimensional problems.

Artificial bee colony algorithm with modified search strategy

2013 ◽  
Vol 32 (12) ◽  
pp. 3326-3330
Author(s):  
Yin-xue ZHANG ◽  
Xue-min TIAN ◽  
Yu-ping CAO
Keyword(s):  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Search Strategy ◽  
Bee Colony
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