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MFEA 2 (or MFEA-II). Multifactorial Evolutionary Optimization with Online Transfer Parameter Estimation in Python

Slime Mould Algorithm A New Method For Stochastic Optimization ⭐ 6

In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is proposed based upon the oscillation mode of slime mould in nature. The proposed SMA has several new features with a unique mathematical model that uses adaptive weights to simulate the process of producing positive and negative feedback of the propagation wave of slime mould based on bio-oscillator to form the optimal path for connecting food with excellent exploratory ability and exploitation propensity.

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