Efficient Multi-Objective Optimization using 2-Population Cooperative Coevolution

Description

We propose a 2-population cooperative coevolutionary optimization method that can efficiently solve multi-objective optimization problems as it successfully combines positive traits from classic multi-objective evolutionary algorithms and from newer optimization approaches that explore the concept of differential evolution. A key part of the algorithm lies in the proposed dual fitness sharing mechanism that is able to smoothly transfer information between the two coevolved populations without negatively impacting the independent evolutionary process behavior that characterizes each population.

Period	12 Feb 2013
Event title	EUROCAST 2013
Event type	Conference
Location	SpainShow on map