作者: Harish Sharma , Jagdish Chand Bansal , K. V. Arya , Xin-She Yang
DOI: 10.1080/00207721.2015.1010748
关键词:
摘要: Artificial bee colony ABC optimisation algorithm is a relatively simple and recent population-based probabilistic approach for global optimisation. The solution search equation of significantly influenced by random quantity which helps in exploration at the cost exploitation space. In ABC, there high chance to skip true due its large step sizes. order balance between diversity convergence Levy flight inspired strategy proposed integrated with ABC. named as Flight LFABC has both local capability simultaneously can be achieved tuning parameters thus automatically LFABC, new solutions are generated around best it enhance Furthermore, improve capability, numbers scout bees increased. experiments on 20 test problems different complexities five real-world engineering show that outperforms basic variants namely, Gbest-guided best-so-far modified most experiments.