Investigating the Influence of the Neighborhood Attraction Factor to Evolution Strategies with Neighborhood Attraction

摘要

The evolution strategy with neighborhood attraction (EN) is a new combination of self-organizing maps (SOM) and evolution strategies (ES). It adapts the neighborhood relationship known from SOM to ES individuals to concentrate them around the optimum of the problem. In this paper, detailed investigations on the influence of one of the most important EN-operators - the neighborhood attraction - were performed on a variety of well-known optimization problems. It could be shown that the parameter setting for the neighborhood attraction has a very strong influence on the convergence velocity and the robustness of the EN, and suggestions for applicable parameter settings could be made.