In this paper an integrated GA based technique with a fuzzy fitness function has been proposed to find out the optimum feature subset from a large feature set.
In this work, a genetic algorithm in conjunction with a fuzzy fitness function, a fuzzy measure for evaluation of the quality of a feature has been proposed ...
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Oct 22, 2024 · In this paper, a two-stage pattern classification and rule extraction system is proposed. The first stage consists of a modified fuzzy min-max ( ...
This paper describes a formal fuzzy genetic algorithm to overcome the traditional problems in feature classification and selection and provides fuzzy templates ...
We propose a new accurate Micro Genetic Algorithm ( GA) for multi-objective optimization problems that we call Micro-FAME (or FAME).
In this paper, we propose a framework based on a genetic algorithm (GA) for feature subset selection that combines various existing feature selection methods.
Jan 19, 2024 · We use GA to efficiently search through the large space of possible feature subsets to select the optimal subset of features.
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This paper presents a method to determine optimum feature subset selection with a modified wrapper-based multi-criteria approach using genetic algorithms.
Jan 4, 2021 · The authors propose a genetic algorithm based on community detection, which functions in three steps. The feature similarities are calculated in the first step.
Mar 25, 2020 · Abstract. This paper presents an approach that uses both genetic algorithm (GA) and fuzzy inference system (FIS), for feature selection for ...