Add to ORKGThe aim of this book is to provide a strong theoretical support for understanding and analyzing the behavior of evolutionary algorithms, as well as for creating a bridge between probability, set-oriented numerics and evolutionary computation
Abstract — Evolutionary computation has started to receive significant attention during the last dec...
This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorit...
While evolution has inspired algorithmic methods of heuristic optimisation, little has been done in ...
International audienceThe aim of this book is to provide a strong theoretical support for understand...
The aim of this book is to provide a strong theoretical support for understanding and analyzing the ...
This book comprises a selection of papers from the EVOLVE 2012 held in Mexico City, Mexico. The aim ...
Abstract. Evolutionary computation uses computational models of evolution-ary processes as key eleme...
Evolutionary computing (EC) is an exciting development in Computer Science. It amounts to building, ...
Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence...
Evolutionary computation has been widely used in computer science for decades. Even though it starte...
Adaptation of parameters and operators is one of the most important and promising areas of research ...
In this thesis a general mathematical framework to describe evolutionary algorithms is developed. Th...
A brief discussion of the genesis of evolutionary computation methods, their relationship to artific...
In this paper, we present an overview of the most important representatives of algorithms gleaned fr...
AbstractThe theory of population genetics and evolutionary computation have been evolving separately...
Abstract — Evolutionary computation has started to receive significant attention during the last dec...
This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorit...
While evolution has inspired algorithmic methods of heuristic optimisation, little has been done in ...
International audienceThe aim of this book is to provide a strong theoretical support for understand...
The aim of this book is to provide a strong theoretical support for understanding and analyzing the ...
This book comprises a selection of papers from the EVOLVE 2012 held in Mexico City, Mexico. The aim ...
Abstract. Evolutionary computation uses computational models of evolution-ary processes as key eleme...
Evolutionary computing (EC) is an exciting development in Computer Science. It amounts to building, ...
Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence...
Evolutionary computation has been widely used in computer science for decades. Even though it starte...
Adaptation of parameters and operators is one of the most important and promising areas of research ...
In this thesis a general mathematical framework to describe evolutionary algorithms is developed. Th...
A brief discussion of the genesis of evolutionary computation methods, their relationship to artific...
In this paper, we present an overview of the most important representatives of algorithms gleaned fr...
AbstractThe theory of population genetics and evolutionary computation have been evolving separately...
Abstract — Evolutionary computation has started to receive significant attention during the last dec...
This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorit...
While evolution has inspired algorithmic methods of heuristic optimisation, little has been done in ...