| Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites | 1 | 0.36 | 2022 |
| Characterization of constrained continuous multiobjective optimization problems: A feature space perspective | 0 | 0.34 | 2022 |
| Parallel Problem Solving from Nature - PPSN XVII - 17th International Conference, PPSN 2022, Dortmund, Germany, September 10-14, 2022, Proceedings, Part I | 0 | 0.34 | 2022 |
| Benchmarking multiobjective optimizers 2.0 | 0 | 0.34 | 2021 |
| Towards Realistic Optimization Benchmarks: A Questionnaire on the Properties of Real-World Problems | 0 | 0.34 | 2020 |
| An analysis of dimensionality reduction techniques for visualizing evolution. | 2 | 0.36 | 2019 |
| Single- and multi-objective game-benchmark for evolutionary algorithms | 1 | 0.35 | 2019 |
| COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite. | 0 | 0.34 | 2019 |
| Benchmarking algorithms from the platypus framework on the biobjective bbob-biobj testbed. | 0 | 0.34 | 2019 |
| Mixed-integer benchmark problems for single- and bi-objective optimization | 1 | 0.36 | 2019 |
| Visualization in Multiobjective Optimization. | 0 | 0.34 | 2018 |
| A taxonomy of methods for visualizing pareto front approximations. | 2 | 0.35 | 2018 |
| Comparing black-box differential evolution and classic differential evolution. | 0 | 0.34 | 2018 |
| Unveiling evolutionary algorithm representation with DU maps. | 1 | 0.36 | 2018 |
| A study of overfitting in optimization of a manufacturing quality control procedure. | 1 | 0.35 | 2017 |
| Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function. | 3 | 0.37 | 2017 |
| The DU map: a visualization to gain insights into genotype-phenotype mapping and diversity. | 2 | 0.36 | 2017 |
| COCO: The Bi-objective Black Box Optimization Benchmarking (bbob-biobj) Test Suite. | 18 | 1.12 | 2016 |
| Benchmarking the Pure Random Search on the Bi-objective BBOB-2016 Testbed. | 2 | 0.41 | 2016 |
| Biobjective Performance Assessment with the COCO Platform. | 11 | 1.02 | 2016 |
| COCO: The Experimental Procedure. | 6 | 0.81 | 2016 |
| Benchmarking RM-MEDA on the Bi-objective BBOB-2016 Test Suite. | 0 | 0.34 | 2016 |
| Women@GECCO 2016 Chairs' Welcome. | 0 | 0.34 | 2016 |
| GECCO'16 Black-Box Optimization Benchmarking Workshop (BBOB-2016): Workshop Chairs' Welcome Message. | 0 | 0.34 | 2016 |
| Performance of the DEMO Algorithm on the Bi-objective BBOB Test Suite. | 0 | 0.34 | 2016 |
| Benchmarking MATLAB's gamultiobj (NSGA-II) on the Bi-objective BBOB-2016 Test Suite. | 1 | 0.37 | 2016 |
| COCO: Performance Assessment. | 12 | 0.89 | 2016 |
| Coco: A Platform For Comparing Continuous Optimizers In A Black-Box Setting | 30 | 1.69 | 2016 |
| The Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective BBOB-2016 Test Suite. | 2 | 0.43 | 2016 |
| The Impact of Variation Operators on the Performance of SMS-EMOA on the Bi-objective BBOB-2016 Test Suite. | 5 | 0.45 | 2016 |
| Visualization of Pareto Front Approximations in Evolutionary Multiobjective Optimization: A Critical Review and the Prosection Method | 41 | 1.03 | 2015 |
| GP-DEMO: Differential Evolution for Multiobjective Optimization based on Gaussian Process models. | 15 | 0.76 | 2015 |
| Initial experiments in visualization of empirical attainment function differences using maximum intensity projection | 0 | 0.34 | 2014 |
| Evolutionary scheduling of flexible offers for balancing electricity supply and demand | 9 | 0.85 | 2012 |
| Discovering Comfortable Driving Strategies Using Simulation-Based Multiobjective Optimization | 6 | 0.59 | 2012 |
| Parameter Tuning In An Evolutionary Algorithm For Commodity Transportation Optimization | 0 | 0.34 | 2010 |
| Agent-Based Security System for User Verification | 0 | 0.34 | 2009 |
| Preliminary Numerical Experiments in Multiobjective Optimization of a Metallurgical Production Process | 7 | 0.79 | 2007 |
| Intelligent High-Security Access Control | 2 | 0.41 | 2007 |
