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A Survey of Methods for Automated Algorithm Configuration [article]

Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney
2022 arXiv   pre-print
Algorithm configuration (AC) is concerned with the automated search of the most suitable parameter configuration of a parametrized algorithm.  ...  There is currently a wide variety of AC problem variants and methods proposed in the literature.  ...  Seamless Problem Solving: Next Generation Intelligence Joins Robust Data Analysis) funded by the German federal state of North Rhine-Westphalia.  ... 
arXiv:2202.01651v1 fatcat:ik3wjfvpevbplp2pdazkpbyoim

Foreword

Holger Hoos, Frank Neumann, Heike Trautmann
2019 Evolutionary Computation  
Foreword https://doi.org/10.1162/evco_e_00246 Automated algorithm selection and configuration are key enabling approaches for improving the state of the art in solving a broad range of important problems  ...  For this special issue, we selected, from a substantial number of submissions, seven papers that jointly cover a broad range of topics and approaches, including various methods for algorithm selection  ...  By now, automated algorithm selection and configuration are mature research areas, as witnessed not only by the sophistication of the methods and the success of their many applications, but also by a large  ... 
doi:10.1162/evco_e_00246 fatcat:rpy7cmgnrnanjcs5cp457khv7e

Taking Human out of Learning Applications: A Survey on Automated Machine Learning [article]

Quanming Yao, Mengshuo Wang, Yuqiang Chen, Wenyuan Dai, Yu-Feng Li, Wei-Wei Tu, Qiang Yang, Yang Yu
2019 arXiv   pre-print
Then, we propose a general AutoML framework that not only covers most existing approaches to date but also can guide the design for new methods.  ...  In this paper, we provide an up to date survey on AutoML. First, we introduce and define the AutoML problem, with inspiration from both realms of automation and machine learning.  ...  To automate algorithm selection, the search space is determined by configurations of optimization algorithms, which contains the choice of optimization algorithms and the values of their hyper-parameters  ... 
arXiv:1810.13306v4 fatcat:crjmb62udjajfjkkkzqjvkyfwq

Automatic Customization Framework for Efficient Vehicle Routing System Deployment [chapter]

Jussi Rasku, Tuukka Puranen, Antoine Kalmbach, Tommi Kärkkäinen
2017 Computational Methods in Applied Sciences  
The strategies presented here equip implementers with the methods needed, and give an outline for automating the deployment of these systems.  ...  Our preliminary results with learning and adaptive algorithms support the assumption of applicability of the proposed configuration framework.  ...  In this paper, we address this by providing an automated configuration workflow for VRSs and a review on the automation methods for different phases of the process.  ... 
doi:10.1007/978-3-319-54490-8_8 fatcat:lrnf6ara7jdc7ddc3ded6ztryu

A Survey on Software Testing Automation using Machine Learning Techniques

Mustafa Abdul Salam, Mohamed Abdel-Fattah, Abdullah Abdel Moemen
2022 International Journal of Computer Applications  
Researchers are looking for using automated methods to reduce the cost and time of the test, in addition to the cost issue.  ...  A survey has been conducted with comparison between Machine Learning, and Data Mining algorithms.  ...  Working to choose the most efficient and appropriate learning method for automation of a target testing stage.  ... 
doi:10.5120/ijca2022921919 fatcat:zcwr74sqb5g6reojx7wibo7rrm

A Compositional Paradigm of Automating Refactorings [chapter]

Mohsen Vakilian, Nicholas Chen, Roshanak Zilouchian Moghaddam, Stas Negara, Ralph E. Johnson
2013 Lecture Notes in Computer Science  
To promote the use of refactoring tools for complex changes, we propose a new paradigm for automating refactorings called compositional refactoring.  ...  We then show that programmers are receptive to this new paradigm through a survey of 100 respondents.  ...  We show the effectiveness of compositional refactoring through a survey (Section 5) and a lab study (Section 6). 6.  ... 
doi:10.1007/978-3-642-39038-8_22 fatcat:qceeezsetnfcbpyowzx6unhxou

A Survey on the Challenges Hindering the Application of Data Science, Digital Twins and Design Automation in Engineering Practice

S. Rädler, E. Rigger
2022 Proceedings of the Design Society  
Future work should elaborate on methods that facilitate the integration of Digital Engineering in design practice.  ...  To enable alignment of industrial practice with state of the art, an industrial survey is conducted to capture the status and identify obstacles that hinder implementation in the industry.  ...  881843 as well as by the project 'Automation Studio for Innovative Design' (ASID) that is financed under the COIN "Aufbau" funding scheme.  ... 
doi:10.1017/pds.2022.172 fatcat:6zydhn2ctbfmrhw3frsgoptege

A Literature Survey on Offline Automatic Algorithm Configuration

Yasemin Eryoldaş, Alptekin Durmuşoglu
2022 Applied Sciences  
In this paper, we will briefly explain the automatic algorithm configuration problem and then survey the automated methods developed to handle this problem.  ...  Although there is very wide literature about algorithm configuration problems, a detailed survey analysis has not been conducted yet to the best of our knowledge.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app12136316 fatcat:gvv66r55xvcjbjvf4re5wlacvu

Automated Prediction of Surgical Site Infection Coronary Artery Bypass (CABG) Grafting Surgery

Flávio Souza, Braulio Couto, Felipe Leandro Andrade da Conceição, Gabriel Henrique Silvestre da Silva, Igor Gonçalves Dias, Rafael Vieira Magno Rigueira, Gustavo Maciel Pimenta, Maurilio Martins, Aline Castro de Almeida, Filipe Batista do Amaral, Guilherme Brangioni Januário, Maria Luiza Neves Caldeira (+2 others)
2020 Infection control and hospital epidemiology  
In addition, for the predictive process, although some configurations had results equal to 0.5, others reached 0.713, which indicates that the automated SSI monitoring framework for patients undergoing  ...  They were compared by measuring the AUC (area under the curve; range, 0–1) presented for each of the configurations. Results: From 666 initial data, only 278 were able for analysis.  ...  In addition, for the predictive process, although some configurations had results equal to 0.5, others reached 0.713, which indicates that the automated SSI monitoring framework for patients undergoing  ... 
doi:10.1017/ice.2020.648 fatcat:2xom3nkwejhldbzv4wuhcfd4am

A Simple, Fully Automated Shoreline Detection Algorithm for High-Resolution Multi-Spectral Imagery

Hazem Usama Abdelhady, Cary David Troy, Ayman Habib, Raja Manish
2022 Remote Sensing  
This paper develops and validates a new fully automated procedure for shoreline delineation from high-resolution multispectral satellite images.  ...  A new technique based on the buffer overlay method is also presented to determine the shoreline changes from different satellite images and obtain a time series for the shoreline changes.  ...  Acknowledgments: The authors also acknowledge Purdue students Yerassyl Koshan and Hannah Tomkins for help with LiDAR data collection and processing.  ... 
doi:10.3390/rs14030557 fatcat:l2enspm36ne2vbbzezxambwqzi

A Survey about Faults of Robots Used in RoboCup [chapter]

Gerald Steinbauer
2013 Lecture Notes in Computer Science  
In this paper we present results of a survey on faults of autonomous robots we conducted in the context of RoboCup. The major contribution of this paper is twofold.  ...  First we present an adapted fault taxonomy suitable for autonomous robots.  ...  We like to heartily thank all teams from the RoboCup Middle Size, Robot Rescue and RoboCup@Home leagues who actively took part of this survey.  ... 
doi:10.1007/978-3-642-39250-4_31 fatcat:cmudndpl6vexpetr34qt5ksb5e

Application of Artificial Intelligence Techniques in Optical Networks

Javier Mata, Ignacio de Miguel, Ramon J. Duran, Noemi Merayo, Sandeep Kumar Singh, Admela Jukan, Mohit Chamania
2018 2018 IEEE Photonics Society Summer Topical Meeting Series (SUM)  
We provide an overview of artificial intelligence techniques and their use in optical communication systems and networks with the aim of improving performance.  ...  Areas of application include optical transmission, performance monitoring, quality of transmission monitoring, as well as optical network planning and operation.  ...  USE CASES OF AI IN OPTICAL NETWORKING We have recently presented a comprehensive survey of the application of AI in optical networks, covering all AI-based methods from search algorithms to machine learning  ... 
doi:10.1109/phosst.2018.8456691 fatcat:o76cj3pckzb4jnd52tsfa53634

Automated Reinforcement Learning (AutoRL): A Survey and Open Problems [article]

Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer
2022 arXiv   pre-print
However, Automated Reinforcement Learning (AutoRL) involves not only standard applications of AutoML but also includes additional challenges unique to RL, that naturally produce a different set of methods  ...  In this survey we seek to unify the field of AutoRL, we provide a common taxonomy, discuss each area in detail and pose open problems which would be of interest to researchers going forward.  ...  Acknowledgements We would like to thank Jie Tan for providing feedback on the survey, as well as Sagi Perel and Daniel Golovin for valuable discussions.  ... 
arXiv:2201.03916v1 fatcat:4j2ycfj6czgxvjn7goxnhxsvzm

A Survey of Asymptotically Optimal Sampling-based Motion Planning Methods [article]

Jonathan D. Gammell, Marlin P. Strub
2020 arXiv   pre-print
Formal path-quality guarantees for continuously valued search spaces are an active area of research interest.  ...  It is often desirable for this path to also optimize a cost function, such as path length.  ...  Sampling-based algorithms for continuous- www.annualreviews.org • A Survey of Asymptotically Optimal Sampling-based Motion Planning Methods 23 time POMDPs.  ... 
arXiv:2009.10484v1 fatcat:idhjoeu3snhljmmhvhodqd4cca

Benchmark and Survey of Automated Machine Learning Frameworks [article]

Marc-André Zöller, Marco F. Huber
2021 arXiv   pre-print
This paper is a combination of a survey on current AutoML methods and a benchmark of popular AutoML frameworks on real data sets.  ...  Automated machine learning (AutoML) aims to reduce the demand for data scientists by enabling domain experts to build machine learning applications automatically without extensive knowledge of statistics  ...  For each node in g an algorithm has to be selected and configured via hyperparameters. This section introduces various methods for algorithm selection and configuration.  ... 
arXiv:1904.12054v5 fatcat:3gbpofwnl5a3zduqr5vportaly
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