Design and Management of Complex Technical Processes and Systems by means of Computational Intelligence Methods Coevolution for Classification

UNIVERSITY OF DORTMUND REIHE COMPUTATIONAL INTELLIGENCE COLLABORATIVE RESEARCH CENTER 531 Design and Management of Complex Technical Processes and Systems by means of Computational Intelligence Methods A Uni ed Model of Non-Panmictic Population Structures in Evolutionary Algorithms

Design and Management of Complex Technical Processes and Systems by means of Computational Intelligence Methods Analysis of a Simple Evolutionary Algorithm for the Minimization in Euclidian Spaces

and was printed with financial support of the Deutsche Forschungsgemeinschaft.

Design and Management of Complex Technical Processes and Systems by means of Computational Intelligence Methods Lower bounds for hit-and-run optimization

and was printed with financial support of the Deutsche Forschungsgemeinschaft.

Design and Management of Complex Technical Processes and Systems by Means of Computational Intelligence Methods a Uniied Model of Non-panmictic Population Structures in Evolutionary Algorithms

This work is a product of the Collaborative Research Center 531, \Computational Intelligence", at the University of Dortmund and was printed with nancial support of the Deutsche Forschungsgemeinschaft.

Design and Management of Complex Technical Processes and Systems by Means of Computational Intelligence Methods

Occasionally there have been long debates on whether to use elitist selection or not. In the present paper the simple (1,λ) EA and (1+λ) EA operating on {0, 1}n are compared by means of a rigorous runtime analysis. It turns out that only values for λ that are logarithmic in n are interesting. An illustrative function is presented for which newly developed proof methods show that the (1,λ) EA—wh...