A new multi-population-based artificial bee colony for numerical optimisation
Gan Yu · International Journal of Computing Science and Mathematics · 2016
This paper presents a new artificial bee colony (ABC) for numerical optimisation. The new approach called NABC, which employs a new multi-population strategy to enhance the diversity of population. The standard ABC is good at exploration, but poor at exploitation. To tackle this issue, a modified solution updating equation is utilised to generate new candidate solutions. Experiments are conducted on ten well-known benchmark functions. Results show that NABC achieves better solutions than the standard ABC and global best guided ABC.