A Novel Hybrid Binary Bat Algorithm for Global Optimization
Huijun Liang,
Aokang Pang,
Chenhao Lin
et al.
Abstract:In this article, a novel hybrid binary bat algorithm named HBBA is proposed for global optimization problems. First, to avoid simultaneous updating of bat velocity's dimensional components, i.e., elements of velocity vector, a random black hole model is modified to adapt to binary algorithm for updating in unknown spaces for each dimensional component individually. Through this way, the search ability of bats around the current group best is increased greatly. Second, a time-varying v-shaped transfer function,… Show more
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