Multiobjective Memetic Algorithm with Local Meta-Models

Abstrakt

The use of meta-models has a long tradition in the field of evolutionary computation. However, it is not well studied in the field of evolutionary multiobjective optimization.

In this paper, we present a multiobjective evolutionary algorithm with local meta-models and compare its performance to traditional multiobjective evolutionary algorithms.

Klíčová slova

• multiobjective optimization
• evolutionary algorithm
• surrogate model
• meta-model