Hybrid spiral-bacterial foraging algorithm for a fuzzy control design of a flexible manipulator

A novel hybrid strategy combining a spiral dynamic algorithm (SDA) and bacterial foraging (BFA) is presented in this article. model incorporated into the chemotaxis of BFA to enhance capability exploration exploitation phases both SDA with aim improve fitness accuracy for convergence speed as well BFA. The proposed tested Congress on Evolutionary Computation 2013 (CEC2013) benchmark functions, its performance terms compared predecessor algorithms. Consequently, solving complex engineering problem, employed obtain optimise fuzzy logic control parameters hub angle tracking flexible manipulator system. Analysis test functions shows that outperforms algorithms significant improvements has competitive other well-known In context real-world it shown achieves faster more accurate solution. Moreover, time-domain response controller optimised by tracks desired system very well.