82 citations · 247 across the 54 of their papers we have counts for
3 papers · 1 filter
On Statistical Analysis of MOEAs with Multiple Performance Indicators
Hao Wang, Carlos Igncio Hernández Castellanos, Tome Eftimov
Assessing the empirical performance of Multi-Objective Evolutionary Algorithms (MOEAs) is vital when we extensively test a set of MOEAs and aim to determine a proper ranking thereo…
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes
Tome Eftimov, Gorjan Popovski, Quentin Renau +2
Automated per-instance algorithm selection and configuration have shown promising performances for a number of classic optimization problems, including satisfiability, AI planning,…
Benchmarking in Optimization: Best Practice and Open Issues
Thomas Bartz-Beielstein, Carola Doerr, Daan van den Berg +14
This survey compiles ideas and recommendations from more than a dozen researchers with different backgrounds and from different institutes around the world. Promoting best practice…