Hao Wang

According to our database1, Hao Wang authored at least 48 papers between 2014 and 2020.

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Bibliography

2020
The Set-Based Hypervolume Newton Method for Bi-Objective Optimization.
IEEE Trans. Cybern., 2020

IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic.
CoRR, 2020

Bayesian Neural Architecture Search using A Training-Free Performance Metric.
CoRR, 2020

Benchmarking discrete optimization heuristics with IOHprofiler.
Appl. Soft Comput., 2020

Cluster-based Kriging approximation algorithms for complexity reduction.
Appl. Intell., 2020

Towards Data-driven Services in Vehicles.
Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020

Benchmarking a (μ +λ ) Genetic Algorithm with Configurable Crossover Probability.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

High Dimensional Bayesian Optimization Assisted by Principal Component Analysis.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Can Compact Optimisation Algorithms Be Structurally Biased?
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Benchmarking and analyzing iterative optimization heuristics with IOHprofiler.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Integrated vs. sequential approaches for selecting and tuning CMA-ES variants.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Towards dynamic algorithm selection for numerical black-box optimization: investigating BBOB as a use case.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A modular hybridization of particle swarm optimization and differential evolution.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Can Single Solution Optimisation Methods Be Structurally Biased?
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Mirrored Orthogonal Sampling for Covariance Matrix Adaptation Evolution Strategies.
Evol. Comput., 2019

Search Dynamics on Multimodal Multiobjective Problems.
Evol. Comput., 2019

Sequential vs. Integrated Algorithm Selection and Configuration: A Case Study for the Modular CMA-ES.
CoRR, 2019

An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Switching Between Swarm Optimization Algorithms During a Run: An Empirical Study.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms.
Proceedings of the Advances in Data Mining, 2019

Automatic Configuration of Deep Neural Networks with Parallel Efficient Global Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2019

Bayesian performance analysis for black-box optimization benchmarking.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

On the potential of evolution strategies for neural network weight optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Hyper-Parameter Optimization for Improving the Performance of Grammatical Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Automated Machine Learning for EEG-Based Classification of Parkinson's Disease Patients.
Proceedings of the 2019 IEEE International Conference on Big Data (Big Data), 2019

2018
Evolution Strategies.
Proceedings of the Handbook of Heuristics., 2018

Automatic Configuration of Deep Neural Networks with EGO.
CoRR, 2018

IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics.
CoRR, 2018

A Novel Uncertainty Quantification Method for Efficient Global Optimization.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

Machine Learning for Predicting the Damaged Parts of a Low Speed Vehicle Crash.
Proceedings of the 2018 Thirteenth International Conference on Digital Information Management (ICDIM), 2018

Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1 + λ) EA variants on onemax and leadingones.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Ranking empirical cumulative distribution functions using stochastic and pareto dominance.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Cooling Strategies for the Moment-Generating Function in Bayesian Global Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
A new acquisition function for Bayesian optimization based on the moment-generating function.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Boosting Quantum Annealing Performance Using Evolution Strategies for Annealing Offsets Tuning.
Proceedings of the Quantum Technology and Optimization Problems, 2017

Algorithm configuration data mining for CMA evolution strategies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Time complexity reduction in efficient global optimization using cluster kriging.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Hypervolume Indicator Gradient Ascent Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016
Evolving the structure of Evolution Strategies.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Towards Analyzing Multimodality of Continuous Multiobjective Landscapes.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

SMS-EMOA with multiple dynamic reference points.
Proceedings of the 12th International Conference on Natural Computation, 2016

Fuzzy clustering for Optimally Weighted Cluster Kriging.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Balancing risk and expected gain in kriging-based global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A Multicriteria Generalization of Bayesian Global Optimization.
Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016

2015
On Steering Dominated Points in Hypervolume Indicator Gradient Ascent for Bi-Objective Optimization.
Proceedings of the NEO 2015, 2015

Optimally Weighted Cluster Kriging for Big Data Regression.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Multi-point Efficient Global Optimization Using Niching Evolution Strategy.
Proceedings of the EVOLVE, 2015

2014
Mirrored orthogonal sampling with pairwise selection in evolution strategies.
Proceedings of the Symposium on Applied Computing, 2014


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