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A Mathematical Modelling Technique for the Analysis of the Dynamics of a Simple Continuous EDA

Bo Yuan, M. Gallagher
2006 IEEE International Conference on Evolutionary Computation  
This paper presents some initial attempts to mathematically model the dynamics of a continuous Estimation of Distribution Algorithm (EDA) based on Gaussian distributions.  ...  Case studies are conducted on both unimodal and multimodal problems to highlight the effectiveness of the proposed technique and explore some fundamental issues of the EDA.  ...  CONCLUSIONS A mathematical modelling technique is proposed under the assumption of infinite population size to investigate the dynamics of a continuous EDA with Truncation Selection and Gaussian models  ... 
doi:10.1109/cec.2006.1688497 dblp:conf/cec/YuanG06 fatcat:qvntu6rsefgwhfngovf6pgi7t4

NSF Workshop on EDA: Past, Present, and Future (Part 2)

Robert Brayton, Jason Cong
2010 IEEE Design & Test of Computers  
We thank the program director, Sankar Basu, for his support of this workshop and for providing valuable feedback to the drafts of this article.  ...  Their summary reports of the group discussions form the basis of many parts of this article.  ...  The bottom layer categorizes the underlying mathematics as either continuous or discrete.  ... 
doi:10.1109/mdt.2010.70 fatcat:u7xra5p4rffh7jomyhcbe4dtpi

Bayesian inference in estimation of distribution algorithms

Marcus Gallagher, Ian Wood, Jonathan Keith, George Sofronov
2007 2007 IEEE Congress on Evolutionary Computation  
In this paper, we provide a framework for the application of Bayesian inference techniques in probabilistic model-based optimization.  ...  Based on this framework, a simple continuous Bayesian Estimation of Distribution Algorithm is described.  ...  Ian Wood would like to acknowledge the support of the ARC Center for Complex Dynamic Systems and Control.  ... 
doi:10.1109/cec.2007.4424463 dblp:conf/cec/GallagherWKS07 fatcat:hkwcojfqpfcf3d4yrdoke65zgq

General Conclusion [chapter]

2013 Cartography and the Impact of the Quantitative Revolution  
Exploratory data analysis (EDA) is one of the possible ways of deciphering what the data say using mathematics and, most importantly, simple graphical diagrams.  ...  EDA is not a simple collection of techniques but a philosophy on the subject of dissecting a data series by asking the following questions: what are we looking for? What do we see?  ... 
doi:10.1002/9781118558126.oth1 fatcat:wikbdeblbfdzvacuvudqpy6jvm

A Survey on Recent Progress in the Theory of Evolutionary Algorithms for Discrete Optimization [article]

Benjamin Doerr, Frank Neumann
2021 arXiv   pre-print
Finally, we present the state of the art of drift analysis, one of the most powerful analysis technique developed in this field.  ...  It discusses fine-grained models of runtime analysis of evolutionary algorithms, highlights recent theoretical insights on parameter tuning and parameter control, and summarizes the latest advances for  ...  Acknowledgements Frank Neumann has been support by the Alexander von Humboldt Foundation through a Humboldt Fellowship for Experienced Researchers and by the Australian Research Council through grant FT200100536  ... 
arXiv:2006.16709v3 fatcat:cm23qxphufdpvntoilo5idsioa

Evolutionary algorithms to optimize low-thrust trajectory design in spacecraft orbital precession mission

Abolfazl Shirazi, Josu Ceberio, Jose A. Lozano
2017 2017 IEEE Congress on Evolutionary Computation (CEC)  
In this research, the dynamics of spacecraft in the presence of orbital perturbation is modeled.  ...  With a unique trajectory model, EAs prove to be an efficient, reliable and versatile optimization solution, capable of being implemented in conceptual and preliminary design of spacecraft for orbital precession  ...  In this algorithm, the optimal solution is sought by moving a swarm of particles around in the search space according to simple mathematical rules.  ... 
doi:10.1109/cec.2017.7969517 dblp:conf/cec/ShiraziCL17 fatcat:xjrisagpfrecvkah5jc36wzzyq

Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review

Hugo F. Posada-Quintero, Ki H. Chon
2020 Sensors  
The advent of new devices and applications for EDA has increased the development of novel signal processing techniques, creating a growing pool of measures derived mathematically from the EDA.  ...  The techniques that have ensued have intended to provide a more sophisticated analysis of EDA, beyond the traditional tonic/phasic decomposition of the signal.  ...  Furthermore, alternative techniques like spectral analysis have emerged as potential tools for the analysis of EDA.  ... 
doi:10.3390/s20020479 pmid:31952141 pmcid:PMC7014446 fatcat:at345j43cvbhhkgv3fywwd6du4

Preface to the Special Issue on Theory of Genetic and Evolutionary Computation

Carola Doerr, Dirk Sudholt
2019 Algorithmica  
To remedy this, theoretical computer scientists employ methods from the analysis of randomized algorithms to analyze the performance of EAs with mathematical rigor.  ...  The quality of these search points determines where and how the search is continued.  ...  We hope that with this special issue we further increase the interest of the general algorithms research community into evolutionary computation methods.  ... 
doi:10.1007/s00453-018-00543-8 fatcat:m5zqhwy5uvh5dntwq2uhssenfy

Models and Statistical Inference: The Controversy between Fisher and Neyman–Pearson

Johannes Lenhard
2006 British Journal for the Philosophy of Science  
The mathematical theory of statistical inference was mainly developed  ...  The main thesis of the paper is that in the case of modern statistics, the differences between the various concepts of models were the key to its formative controversies.  ...  Acknowledgements I would like to thank Margaret Morrison and an anonymous referee for their highly valuable comments on earlier versions of this paper.  ... 
doi:10.1093/bjps/axi152 fatcat:k46vw2g7mrgpldcoaj63bpgz4a

Numerical Optimization with Real-Valued Estimation-of-Distribution Algorithms [chapter]

Peter A. N. Bosman, Dirk Thierens
2006 Studies in Computational Intelligence  
Based on observations originating from this existing research and on existing work in the literature regarding dynamics of continuous EDAs, we draw some conclusions about the feasibility of existing EDA  ...  Concordantly, the type of probability distribution to be used for estimation and sampling in the EDA is continuous. In this chapter we indicate the main challenges in this area.  ...  Histogram pdf Definition Although conceptually the histogram pdf is arguably the most simple way to represent a continuous real-valued probability distribution, we refrain from giving a precise mathematical  ... 
doi:10.1007/978-3-540-34954-9_5 fatcat:rcusmbcxrrb43p6ev3xusuxitq

What Now? Some Brief Reflections on Model-Free Data Analysis

Richard Berk
2009 International Econometric Review  
David Freedman's critique of causal modeling in the social and biomedical sciences was fundamental. In his view, the enterprise was misguided, and there was no technical fix.  ...  Far too often, there was a disconnect between what the statistical methods required and the substantive information that could be brought to bear.  ...  The descriptive goals of EDA are seen as necessary prerequisites to the development and use of models, often causal models.  ... 
doaj:39a83dfc03c64a24ae38ec3e091d7b7b fatcat:q7lp2jeqdjcptbke5aya2hxove

A Critical Review of Proactive Detection of Driver Stress Levels Based on Multimodal Measurements

Mohammad Naim RASTGOO, Bahareh Nakisa, Andry Rakotonirainy, Vinod Chandran, Dian Tjondronegoro
2018 ACM Computing Surveys  
This critical review investigates the state of the art of techniques and achievements for automatic driver stress level detection based on multimodal sensors and data.  ...  An in-vehicle warning system for driver stress levels is needed to continuously predict dangerous driving situations and proactively alert drivers to ensure safe and comfortable driving.  ...  ACKNOWLEDGMENTS The authors would like to gratefully thank Ms. Margaret Ann Duffield for her help and copy editing services provided by Golden Orb Creative, NSW, Australia.  ... 
doi:10.1145/3186585 fatcat:ngvhdvkbsbeqhkjrzzhqb4ismi

Genetic design automation: engineering fantasy or scientific renewal?

Matthew W. Lux, Brian W. Bramlett, David A. Ball, Jean Peccoud
2012 Trends in Biotechnology  
Unfortunately, experimental synthetic biologists still rely largely on project-specific, ad-hoc development processes that combine construct assembly, data collection, data analysis, and mathematical modeling  ...  Computer-Aided Design tools for synthetic biology Several groups have been developing Computer-Aided Design (CAD) solutions for synthetic biology [1-10] yet the transcriptional complexity of published  ...  The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript  ... 
doi:10.1016/j.tibtech.2011.09.001 pmid:22001068 pmcid:PMC3779889 fatcat:7wzubr5ewzgjfgsnwplhpotcda

Parallel Enhanced Hybrid Evolutionary Algorithm for Continuous Function Optimization

Said Mohamed Said, Morikazu Nakamura
2012 2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing  
In this paper, we propose a hybrid master/slave approach to optimization problems on the basis of estimation of distribution algorithms (EDAs) and genetic algorithms (GAs).  ...  The slaves use the vectors to generate a new initial population for their GA operations.  ...  ACKNOWLEDGMENTS A part of this research was supported by Grant-inAid for Scientific Research (C) 22500031 from Japan Society for the Promotion of Science (JSPS).  ... 
doi:10.1109/3pgcic.2012.51 dblp:conf/3pgcic/SaidN12 fatcat:6w53yfwjencbrawv5ayjku4psa

Comparative evaluation of multi-basin production performance and application of spatio-temporal models for unconventional oil and gas production prediction

M. E. Wigwe, E. S. Bougre, M. C. Watson, A. Giussani
2020 Journal of Petroleum Exploration and Production Technology  
In this paper, we present a multi-basin study of production performance evaluation and applications of ST models for oil and gas data.  ...  Results show a significant effect on production by the smooth term, accounting for between 60 and 95% of the variability in the six-month production.  ...  We acknowledge use of the public license for R programming language, RStudio IDE for R, and contributed libraries.  ... 
doi:10.1007/s13202-020-00960-y fatcat:rcwhwzeuergkzgwuvyg24exkba
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