This document introduces the reader to the analysis of results of computational experiments on heuristic algorithms for optimization by means of R, the free software environment for statistical computing and graphics. In the first chapter relevant R commands are listed. In the second chapter, a basic analysis is developed on two example studies. In chapter three, the setup and use of the racing method for configuration and tuning of the algorithms is described. In chapter four, elements from survival analysis and extreme value theory are used to model the behaviour of the algorithms. In chapter five, advanced analysis from experimental design are reviewed. This is a very preliminary version and suggestions and corrections are very welcome
Simulation studies allow researchers to answer specific questions about data analysis, statistical p...
Abstract Optimal designs play an important role in many applied areas such as medical and industrial...
In empirical studies of Evolutionary Algorithms, it is usually desirable to evaluate and compare alg...
This document introduces the reader to the analysis of results of computational experiments on heuri...
The goal of this book is to gather in a single document the most relevant concepts related to modern...
The contents of The R Software are presented so as to be both comprehensive and easy for the reader ...
The contents of The R Software are presented so as to be both comprehensive and easy for the reader ...
In operations research and computer science it is common practice to evaluate the performance of opt...
R (R Core Team 2014) provides a powerful and flexible system for statistical computations. It has a ...
This article presents statistical techniques for the design and analysis of evolution strategies. Th...
Numerical optimization is often an essential aspect of mathematical analysis in science, technology ...
This book discusses theory and application of experimental design. especially in animal and agricult...
R is now widely acknowledged as a scientific skill and increasingly more applied in many scientific ...
This book is written for statisticians, data analysts, programmers, researchers, teachers, students,...
This book discusses unconstrained optimization with R — a free, open-source computing environment, w...
Simulation studies allow researchers to answer specific questions about data analysis, statistical p...
Abstract Optimal designs play an important role in many applied areas such as medical and industrial...
In empirical studies of Evolutionary Algorithms, it is usually desirable to evaluate and compare alg...
This document introduces the reader to the analysis of results of computational experiments on heuri...
The goal of this book is to gather in a single document the most relevant concepts related to modern...
The contents of The R Software are presented so as to be both comprehensive and easy for the reader ...
The contents of The R Software are presented so as to be both comprehensive and easy for the reader ...
In operations research and computer science it is common practice to evaluate the performance of opt...
R (R Core Team 2014) provides a powerful and flexible system for statistical computations. It has a ...
This article presents statistical techniques for the design and analysis of evolution strategies. Th...
Numerical optimization is often an essential aspect of mathematical analysis in science, technology ...
This book discusses theory and application of experimental design. especially in animal and agricult...
R is now widely acknowledged as a scientific skill and increasingly more applied in many scientific ...
This book is written for statisticians, data analysts, programmers, researchers, teachers, students,...
This book discusses unconstrained optimization with R — a free, open-source computing environment, w...
Simulation studies allow researchers to answer specific questions about data analysis, statistical p...
Abstract Optimal designs play an important role in many applied areas such as medical and industrial...
In empirical studies of Evolutionary Algorithms, it is usually desirable to evaluate and compare alg...