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03/01/2023
Lessons Learned Report: Super-Resolution for Detection Tasks in Engineering Problem-Solving
We describe the lessons learned from targeting agricultural detection pr...
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10/30/2022
Saliency Can Be All You Need In Contrastive Self-Supervised Learning
We propose an augmentation policy for Contrastive Self-Supervised Learni...
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06/27/2022
Toward an ImageNet Library of Functions for Global Optimization Benchmarking
Knowledge of search-landscape features of BlackBox Optimization (BBO) pr...
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05/21/2021
Addressing the Multiplicity of Solutions in Optical Lens Design as a Niching Evolutionary Algorithms Computational Challenge
Optimal Lens Design constitutes a fundamental, long-standing real-world ...
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11/12/2020
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study
Some real-world domains, such as Agriculture and Healthcare, comprise ea...
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10/04/2020
Multi-Level Evolution Strategies for High-Resolution Black-Box Control
This paper introduces a multi-level (m-lev) mechanism into Evolution Str...
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12/19/2019
Benchmarking Discrete Optimization Heuristics with IOHprofiler
Automated benchmarking environments aim to support researchers in unders...
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06/10/2018
On the Covariance-Hessian Relation in Evolution Strategies
We consider Evolution Strategies operating only with isotropic Gaussian ...
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06/23/2016
On the Theoretical Capacity of Evolution Strategies to Statistically Learn the Landscape Hessian
We study the theoretical capacity to statistically learn local landscape...
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12/22/2011
Quantum Control Experiments as a Testbed for Evolutionary Multi-Objective Algorithms
Experimental multi-objective Quantum Control is an emerging topic within...
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12/19/2011