Trusted Evolutionary Algorithm

Abstract

In both numerical and stochastic optimization methods, surrogate models are often employed in lieu of the expensive high-fidelity models to enhance search efficiency. In gradient-based numerical methods, the trustworthiness of the surrogate models in predicting the fitness improvement is often addressed using ad hoc move limits or a trust region framework… (More)
DOI: 10.1109/CEC.2006.1688302

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