LAMM-MMA: Multiobjective Memetic Algorithm with Local Aggregate Meta-Model

Abstrakt

In this paper we describe a multiobjective memetic algorithm utilizing local distance based meta-models. This algorithm is evaluated and compared to standard multiobjective evolutionary algorithms (MOEA) as well as to a similar algorithm with a global meta-model.

Klíčová slova

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