On Interactive Evolution Strategies

Abstract. In this paper we discuss Evolution Strategies within the context of interactive optimization. Different modes of interaction will be classified and compared. A focus will be on the suitability of the approach in cases, where the selection of individuals is done by a human user based on subjective evaluation. We compare the convergence dynamics of different approaches and discuss typical patterns of user interactions observed in empirical studies. The discussion of empirical results will be based on a survey conducted via the world wide web. A color (pattern) redesign problems from literature will be adopted and extended. The simplicity of the chosen problems allowed us to let a larger number of people participate in our study. The amount of data collected makes it possible to add statistical support to our hypothesis about the performance and behavior of different Interactive Evolution Strategies and to figure out high-performing instantiations of the approach. The behavior o...

• Type: Conference
• Year: 2006
• Where: EVOW
• Authors: Ron Breukelaar, Michael Emmerich, Thomas Bäck
• Keywords: Artificial Intelligence, Evolution Strategies, EVOW 2006, User Interaction, User Interaction Schemes