A new quality-diversity algorithm uses CMA-ES to optimize per-cell hypervolume improvements against lagging threshold fronts, beating or matching prior methods on four multi-objective domains.
Set-based multi- objective optimization, indicators, and deteriorative cycles
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Multi-Objective Covariance Matrix Adaptation MAP-Annealing
A new quality-diversity algorithm uses CMA-ES to optimize per-cell hypervolume improvements against lagging threshold fronts, beating or matching prior methods on four multi-objective domains.