3 papers
cs.NE2018
Evolutionary Diversity Optimization Using Multi-Objective Indicators
Aneta Neumann, Wanru Gao, Markus Wagner +1
Evolutionary diversity optimization aims to compute a diverse set of solutions where all solutions meet a given quality criterion. With this paper, we bridge the areas of evolution…
cs.NE2018
Design and Analysis of Diversity-Based Parent Selection Schemes for Speeding Up Evolutionary Multi-objective Optimisation
Edgar Covantes Osuna, Wanru Gao, Frank Neumann +1
Parent selection in evolutionary algorithms for multi-objective optimisation is usually performed by dominance mechanisms or indicator functions that prefer non-dominated points. W…
cs.NE2018
Discrepancy-based Evolutionary Diversity Optimization
Aneta Neumann, Wanru Gao, Carola Doerr +2
Diversity plays a crucial role in evolutionary computation. While diversity has been mainly used to prevent the population of an evolutionary algorithm from premature convergence,…