Neuro-Evolution Explained: Smooth Crossover & Mutation Techniques 🤖
Discover how genotype mutation and crossover work in neuro-evolution, with a live demonstration of smooth genetic operations and mutator parameters for optimized neural network evolution.
Coma Lab
472 views • Dec 29, 2017
About this video
Demonstration of a smooth crossover operation between two randomly generated/mutated genotypes.
Mutator parameters:
Mostly anabolic with a low probability of CM when number of nodes reaches max.
nodes: [0,16]
depth: [0,8]
connections (per chromosome): [0,8]
operations: {ATL, ATR, AF, AB, CS, CM}
Music by CO.AG Music:
https://www.youtube.com/channel/UCcavSftXHgxLBWwLDm_bNvA
Mutator parameters:
Mostly anabolic with a low probability of CM when number of nodes reaches max.
nodes: [0,16]
depth: [0,8]
connections (per chromosome): [0,8]
operations: {ATL, ATR, AF, AB, CS, CM}
Music by CO.AG Music:
https://www.youtube.com/channel/UCcavSftXHgxLBWwLDm_bNvA
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Video Information
Views
472
Likes
8
Duration
8:32
Published
Dec 29, 2017
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