Editing Neuroevolution (section)

==Features==

Many neuroevolution [[algorithm]]s have been defined. One common distinction is between algorithms that evolve only the strength of the connection weights for a fixed network topology (sometimes called conventional neuroevolution), and algorithms that evolve both the topology of the network and its weights (called TWEANNs, for Topology and Weight Evolving Artificial Neural Network algorithms).

A separate distinction can be made between methods that evolve the structure of ANNs in parallel to its parameters (those applying standard evolutionary algorithms) and those that develop them separately (through [[memetic algorithm]]s).<ref>{{cite book |doi=10.1007/978-3-540-87700-4_61 |chapter=Countering Poisonous Inputs with Memetic Neuroevolution |title=Parallel Problem Solving from Nature – PPSN X |series=Lecture Notes in Computer Science |year=2008 |last1=Togelius |first1=Julian |last2=Schaul |first2=Tom |last3=Schmidhuber |first3=Jürgen |last4=Gomez |first4=Faustino |volume=5199 |pages=610–619 |isbn=978-3-540-87699-1 }}</ref>