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Found 3 papers, 1 papers with code
GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA
Evolutionary multiobjective optimization has witnessed remarkable progress during the past decades.
Large Scale Many-Objective Optimization Driven by Distributional Adversarial Networks
In this paper, we will propose a novel algorithm based on RVEA[1] framework and using Distributional Adversarial Networks (DAN) [2]to generate new offspring.
Many-Objective Estimation of Distribution Optimization Algorithm Based on WGAN-GP
EDA establishes a probability model to describe the distribution of solution from the perspective of population macroscopically by statistical learning method, and then randomly samples the probability model to generate a new population.
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