Structural Bias in Multi-objective Optimization

Genetic and Evolutionary Computation Conference (GECCO), pp. 438–446

Abstract

Structural bias (SB) refers to systematic preferences of an optimisation algorithm for particular regions of the search space that arise independently of the objective function. While SB has been studied extensively in single-objective optimisation, its role in multi-objective optimisation remains largely unexplored. This is problematic, as dominance relations, diversity preservation and Pareto-based selection mechanisms may introduce or amplify structural effects.

Authors 4

1. Jakub Kůdela

   Brno University of Technology

   Affiliation as printed

   Brno University of Technology, Brno, Czech Republic

2. Bas van Stein Aachen

   Leiden University

   Affiliation as printed

   Leiden University, Leiden, Netherlands

3. Thomas Bäck Aachen

   Leiden University

   Affiliation as printed

   Leiden University, Leiden, Netherlands

4. Anna V. Kononova Aachen

   Leiden University

   Affiliation as printed

   Leiden University, Leiden, Netherlands