TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - nicht begutachtet (unreviewed)
A1  - Hagg, Alexander
A1  - Preuss, Mike
A1  - Wessing, Simon
A1  - Asteroth, Alexander
A1  - Bäck, Thomas
T1  - An Analysis of Phenotypic Diversity in Multi-Solution Optimization
T2  - EasyChair Preprint
N2  - In optimization methods that return diverse solution sets, three interpretations of diversity can be distinguished: multi-objective optimization which searches diversity in objective space, multimodal optimization which tries spreading out the solutions in genetic space, and quality diversity which performs diversity maintenance in phenotypic space. We introduce niching methods that provide more flexibility to the analysis of diversity and a simple domain to compare and provide insights about the paradigms. We show that multiobjective optimization does not always produce much diversity, quality diversity is not sensitive to genetic neutrality and creates the most diverse set of solutions, and multimodal optimization produces higher fitness solutions. An autoencoder is used to discover phenotypic features automatically, producing an even more diverse solution set. Finally, we make recommendations about when to use which approach.
KW  - Autoencoder
KW  - diversity
KW  - Evolutionary Computation
KW  - feature discovery
KW  - genetic neutrality
KW  - multi-objective optimization
KW  - Multi-Solution Optimization
KW  - multimodal optimization
KW  - phenotypic diversity
KW  - phenotypic feature
UR  - https://easychair.org/publications/preprint/R9M4
SP  - 14
S1  - 14
PB  - EasyChair
ER  -