The proposed models are formulated through synthesizing a multi-layer perceptron network (MLP) with ant lion optimization (ALO), biogeography-based optimization (BBO), the dragonfly algorithm (DA), evolutionary strategy (ES), invasive weed optimization (IWO), and league champion optimization (LCA) hybrid algorithms.
The Ant Lion Optimizer (ALO) mimics the hunting mechanism of antlions in nature
A lot of AI work uses nature as a model to optimise networks. Actually a super interesting topic.
Evolutionary AIs are super fun to play with. We evolved a network to play the moon lander game at uni. It was awesome watching it get gradually better as the generations went on.
All legit algorithms.
A lot of AI work uses nature as a model to optimise networks. Actually a super interesting topic.
Evolutionary AIs are super fun to play with. We evolved a network to play the moon lander game at uni. It was awesome watching it get gradually better as the generations went on.