
In this paper, we propose a New Artificial Bee Colony NABC algorithm to enhance the search ability of onlooker bees. In NABC, the employed bees and onlooker bees utilise different search strategies to generate new candidate solutions. Moreover, NABC does not use the roulette selection, and a new method is designed to select good solutions for the onlooker bees. Experiments on some famous test functions show that the NABC algorithm outperforms some similar ABC and swarm intelligence algorithms.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
