6 citations · 16 across the 6 of their papers we have counts for
3 papers · 1 filter
Bounding Bloat in Genetic Programming
Benjamin Doerr, Timo Kötzing, J. A. Gregor Lagodzinski +1
While many optimization problems work with a fixed number of decision variables and thus a fixed-length representation of possible solutions, genetic programming (GP) works on vari…
Ring Migration Topology Helps Bypassing Local Optima
Clemens Frahnow, Timo Kötzing
Running several evolutionary algorithms in parallel and occasionally exchanging good solutions is referred to as island models. The idea is that the independence of the different i…
Destructiveness of Lexicographic Parsimony Pressure and Alleviation by a Concatenation Crossover in Genetic Programming
Timo Kötzing, J. A. Gregor Lagodzinski, Johannes Lengler +1
For theoretical analyses there are two specifics distinguishing GP from many other areas of evolutionary computation. First, the variable size representations, in particular yieldi…