Social emotional optimisation algorithm with Levy distribution

Social Emotional Optimisation Algorithm (SEOA) is a recent proposed novel population-based optimisation technique inspired by the human behaviours. In human society, the emotion guides each individual to make decision so that his/her behaviour may provide some profits. However, due to the simple setting motion in the standard version, the emotion changes can not provide enough materials. Therefore, in this paper, a stochastic model is designed by adding Levy distribution. In this model, the emotion is changed with one Levy translation. Simulation results show the proposed method is effective and efficient when dealing with multi-modal famous benchmarks, especially for high-dimensional cases.

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