Large Scale Optimization Based on Co-ordinated Bacterial Dynamics and Opposite Numbers
This work, named Large Scale Optimization based on co-ordinated Bacterial Dynamics and Opposite Numbers (LSCBO) presents a very fast algorithm to solve large scale optimization problems. The computational simplicity of the algorithm allows it to achieve admirable results. There are only three searching agents in the population, one being the primary bacterium and the other two are secondary bacteria. The proposed algorithm is employed on 7 benchmark functions of CEC2008 and it gives better results compared to the other well known contemporary algorithms present in the literature. The main reason for this is that the computational burden of the algorithm is significantly reduced.
KeywordsEvolutionary algorithms large scale optimization bacterial dynamics quorum sensing
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