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- W2732173810 abstract "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." @default.
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- W2732173810 date "2017-06-01" @default.
- W2732173810 modified "2023-09-27" @default.
- W2732173810 title "A cooperative Brain Storm Optimization Algorithm" @default.
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- W2732173810 doi "https://doi.org/10.1109/cec.2017.7969396" @default.
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