Results 11 to 20 of about 1,398,187 (332)
Genetic Algorithm Based on Natural Selection Theory for Optimization Problems
Symmetry, 2020 The metaheuristic genetic algorithm (GA) is based on the natural selection process that falls under the umbrella category of evolutionary algorithms (EA).
Musatafa Abbas Abbood Albadr +3 more
semanticscholar +3 more sources
A tribe competition-based genetic algorithm for feature selection in pattern classification [PDF]
Applied Soft Computing Journal, 2017 Feature selection has always been a critical step in pattern recognition, in which evolutionary algorithms, such as the genetic algorithm (GA), are most commonly used.
Benteng Ma, Yong Xia
semanticscholar +3 more sources
Hybrid genetic algorithms for feature selection [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004 This paper proposes a novel hybrid genetic algorithm for feature selection. Local search operations are devised and embedded in hybrid GAs to fine-tune the search. The operations are parameterized in terms of their fine-tuning power, and their effectiveness and timing requirements are analyzed and compared.
Il-Seok, Oh +2 more
openaire +2 more sources
A novel community detection based genetic algorithm for feature selection [PDF]
Journal of Big Data, 2020 The feature selection is an essential data preprocessing stage in data mining. The core principle of feature selection seems to be to pick a subset of possible features by excluding features with almost no predictive information as well as highly ...
M. Rostami +2 more
semanticscholar +1 more source
A two-layer feature selection method using Genetic Algorithm and Elastic Net
Expert systems with applications, 2021 Feature selection, as a critical pre-processing step for machine learning, aims at determining representative predictors from a high-dimensional feature space dataset to improve the prediction accuracy.
F. Amini, Guiping Hu
semanticscholar +1 more source
Gab-SSDS: An AI-Based Similar Days Selection Method for Load Forecast
Frontiers in Energy Research, 2022 The important, while mostly underestimated, step in the process of short-term load forecasting–STLF is the selection of similar days. Similar days are identified based on numerous factors, such as weather, time, electricity prices, geographical ...
Zoran Janković +4 more
doaj +1 more source
CONSTRAINED PORTFOLIO SELECTION OPTIMIZATION USING CALIBRATED GENETIC ALGORITHM [PDF]
مجله مدل سازی در مهندسی, 2014 Portfolios are a proper collection of investments choosing by an organization or a person. Hence portfolio optimization is a very prominent problem by optimizing which we can attain more profit with the less risk.
ali naimi sadigh +1 more
doaj +1 more source
Foundations of Computing and Decision Sciences, 2022 The growing need for profit maximization and cost minimization has made the optimization field very attractive to both researchers and practitioners.
Laabadi Soukaina +3 more
doaj +1 more source
Intelligent Feature Selection Methods: A Survey [PDF]
Engineering and Technology Journal, 2021 Consider feature selection is the main in intelligent algorithms and machine learning to select the subset of data to help acquire the optimal solution.
Noor Jameel, Hasanen S. Abdullah
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Gene expression programming approach to event selection in high energy physics [PDF]
, 2006 Gene Expression Programming is a new evolutionary algorithm that overcomes many limitations of the more established Genetic Algorithms and Genetic Programming. Its first application to high energy physics data analysis is presented.
Teodorescu, L
core +1 more source