Stefanus C. Maree

According to our database1, Stefanus C. Maree authored at least 13 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Uncrowded Hypervolume-Based Multiobjective Optimization with Gene-Pool Optimal Mixing.
Evol. Comput., 2022

2021
Two-Phase Real-Valued Multimodal Optimization with the Hill-Valley Evolutionary Algorithm.
Proceedings of the Metaheuristics for Finding Multiple Solutions, 2021

2020
Ensuring smoothly navigable approximation sets by Bezier curve parameterizations in evolutionary bi-objective optimization - applied to brachytherapy treatment planning for prostate cancer.
CoRR, 2020

Uncrowded Hypervolume-based Multi-objective Optimization with Gene-pool Optimal Mixing.
CoRR, 2020

Ensuring Smoothly Navigable Approximation Sets by Bézier Curve Parameterizations in Evolutionary Bi-objective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Multi-objective Optimization by Uncrowded Hypervolume Gradient Ascent.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Leveraging conditional linkage models in gray-box optimization with the real-valued gene-pool optimal mixing evolutionary algorithm.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Benchmarking HillVallEA for the GECCO 2019 Competition on Multimodal Optimization.
CoRR, 2019

Real-valued evolutionary multi-modal multi-objective optimization by hill-valley clustering.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
Benchmarking the Hill-Valley Evolutionary Algorithm for the GECCO 2018 Competition on Niching Methods Multimodal Optimization.
CoRR, 2018

Real-valued evolutionary multi-modal optimization driven by hill-valley clustering.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Pricing early-exercise and discrete barrier options by Shannon wavelet expansions.
Numerische Mathematik, 2017

Niching an estimation-of-distribution algorithm by hierarchical Gaussian mixture learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017


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