most citedEDOLAB: An Open-Source Platform for Education and Experimentation with Evolutionary Dynamic Optimization Algorithms

5 citations · 11 across the 5 of their papers we have counts for

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math.OC2023★ 3 cited

BOP-Elites, a Bayesian Optimisation Approach to Quality Diversity Search with Black-Box descriptor functions

Paul Kent, Adam Gaier, Jean-Baptiste Mouret +1

Quality Diversity (QD) algorithms such as MAP-Elites are a class of optimisation techniques that attempt to find many high performing points that all behave differently according t…

math.OC2023★ 2 cited

Performance Metrics for Multi-Objective Optimisation Algorithms Under Noise

Juergen Branke

This paper discusses the challenge when evaluating multi-objective optimisation algorithms under noise, and argues that decision maker preferences need to be taken into account. It…