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CEC
2005
IEEE

Dynamic niching in evolution strategies with covariance matrix adaptation

11 years 11 months ago
Dynamic niching in evolution strategies with covariance matrix adaptation
Abstract- Evolutionary Algorithms (EAs) have the tendency to converge quickly into a single solution in the search space. However, many complex search problems require the identification and maintenance of multiple solutions. Niching methods are the extension of EAs to address this issue. In our study we propose an Evolution Strategies (ES) niching method, based on the covariance matrix adaptation (CMA) mechanism. We analyze our algorithm, introduce an experimental setup, and compare its performance with a previous ES niching method, known as the ES dynamic niching algorithm. In our comparison we introduce for the first time a new analytical tool for niching analysis, and in particular the early niching formation process. Based on successful data fit, we propose the well-known logistic model to describe our experimental results.
Ofer M. Shir, Thomas Bäck
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where CEC
Authors Ofer M. Shir, Thomas Bäck
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