Efficient truss optimization using the contrast-based fruit fly optimization algorithm

Truss optimization using fruit fly optimization algorithm.Advanced modelling of fruit fly food search behaviour.Efficiency in truss optimization with frequency constraints.Intuitive, few tuning parameters. A recent biological study shows that the extremely good efficiency of fruit flies in finding food, despite their small brain, emerges by two distinct stimuli: smell and visual contrast. contrast-based fruit fly optimization, presented in this paper, is for the first time mimicking this fruit fly behaviour and developing it as a means to efficiently address multi-parameter optimization problems. To assess its performance a study was carried out on ten mathematical and three truss optimization problems. The results are compared to those obtained using twelve state-of-the-art optimization algorithms and confirm its good and robust performance. A sensitivity analysis and an evaluation of its performance under parallel computing were conducted. The proposed algorithm has only a few tuning parameters, is intuitive, and multi-faceted, allowing application to complex n-dimensional design optimization problems.