37 citations · 39 across the 2 of their papers we have counts for
4 papers
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…
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…
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,…
Feature-Based Diversity Optimization for Problem Instance Classification
Wanru Gao, Samadhi Nallaperuma, Frank Neumann
Understanding the behaviour of heuristic search methods is a challenge. This even holds for simple local search methods such as 2-OPT for the Traveling Salesperson problem. In this…