Publication date
January 2004
DOI ISSN
0302-9743 Citation count (estimate)
8Abstract
This paper describes a new approach for parameter optimization that uses a novel representation for the parameters to be optimized
This paper describes a new approach for parameter optimization that uses a novel representation for the parameters to be optimized
Abstract- Choosing the best parameter setting is a wellknown important and challenging task in Evolu...
Abstract: Genetic Algorithm (GA) is a calculus free optimization technique based on principles of na...
A crucial problem in nowadays industrial automation applications regards the (sub)optimal setting of...
[[abstract]]According to the results of previous research, the genetic algorithm (GA) is a good tech...
The concept of parameter-space size adjustment is proposed in order to enable successful application...
The concept of parameter-space size adjustment is pn,posed in order to enable successful application...
Deciding on the best performing parameter setting for evolutionary algorithms in a problem domain is...
a time consuming task with two main approaches: parameter tuning and parameter control. In this work...
In this study, we provide a new taxonomy of parameters of genetic algorithms (GA), structural and nu...
<p>Each line represents a different set of parameters. The optimization algorithm has successfully c...
Not so many benchmark problems have been proposed in the area of Genetic Programming (GP). In this s...
In this work we present an optimization algorithm based on a discrete event simulation engine driven...
Use of non-deterministic algorithms for solving multi-variable optimization problems is widely used ...
The paper concerns the application of Genetic Algorithms and Genetic Programming to complex tasks su...
Genetic Algorithms are powerful tools, which when set upon a solution space will search for the opti...
Abstract- Choosing the best parameter setting is a wellknown important and challenging task in Evolu...
Abstract: Genetic Algorithm (GA) is a calculus free optimization technique based on principles of na...
A crucial problem in nowadays industrial automation applications regards the (sub)optimal setting of...
[[abstract]]According to the results of previous research, the genetic algorithm (GA) is a good tech...
The concept of parameter-space size adjustment is proposed in order to enable successful application...
The concept of parameter-space size adjustment is pn,posed in order to enable successful application...
Deciding on the best performing parameter setting for evolutionary algorithms in a problem domain is...
a time consuming task with two main approaches: parameter tuning and parameter control. In this work...
In this study, we provide a new taxonomy of parameters of genetic algorithms (GA), structural and nu...
<p>Each line represents a different set of parameters. The optimization algorithm has successfully c...
Not so many benchmark problems have been proposed in the area of Genetic Programming (GP). In this s...
In this work we present an optimization algorithm based on a discrete event simulation engine driven...
Use of non-deterministic algorithms for solving multi-variable optimization problems is widely used ...
The paper concerns the application of Genetic Algorithms and Genetic Programming to complex tasks su...
Genetic Algorithms are powerful tools, which when set upon a solution space will search for the opti...
Abstract- Choosing the best parameter setting is a wellknown important and challenging task in Evolu...
Abstract: Genetic Algorithm (GA) is a calculus free optimization technique based on principles of na...
A crucial problem in nowadays industrial automation applications regards the (sub)optimal setting of...
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