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A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories
To guide the design of better iterative optimisation heuristics, it is imperative to understand how inherent structural biases within algorithm components affect the performance on a wide variety of search landscapes.
Understanding fitness landscapes in morpho-evolution via local optima networks
Morpho-evolution (ME) refers to the simultaneous optimisation of a robot's design and controller to maximise performance given a task and environment.
Information flow and Laplacian dynamics on local optima networks
Metrics related to LD are proposed and these are compared with existing LON metrics.
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