A cooperative Brain Storm Optimization Algorithm

In the last few years, hybridization has spread as an effective technique to solve hard optimization problems where metaheuristics algorithms have been unable to find global optima in a computational cost given. In this article, we propose the so-called cooperation strategy. This way is an alternative to hybridization in which different algorithms work together in order to find a global optimum following an intrinsically parallel approach. Different homogeneous and heterogeneous strategies using CEC benchmark functions have been designed using Brain Storm Optimization (BSO) metaheuristic in comparison with a hybrid BSO, showing that cooperation improves significantly hybridization results and the original BSO.

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