Results 21 to 30 of about 6,256,599 (289)

Streaming multi-layer ensemble selection using dynamic genetic algorithm. [PDF]

open access: yes, 2021
In this study, we introduce a novel framework for non-stationary data stream classification problems by modifying the Genetic Algorithm to search for the optimal configuration of a streaming multi-layer ensemble.
Anh Vu Luong   +7 more
core   +1 more source

Phase Transitions and Symmetry Breaking in Genetic Algorithms with Crossover [PDF]

open access: yes, 2006
In this paper, we consider the role of the crossover operator in genetic algorithms. Specifically, we study optimisation problems that exhibit many local optima and consider how crossover affects the rate at which the population breaks the symmetry of ...
Jennings, N. R.   +4 more
core   +2 more sources

Genetic algorithm feature selection resilient to increasing amounts of data imputation

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference
This paper investigates the robustness of a genetic algorithm (GA) in feature selection across a dataset with increasing imputed missing values. Feature selection can be beneficial in predictive modeling to reduce computational costs and potentially ...
Maryam Kebari, Annie S Wu
doaj   +1 more source

Model for virtual corporations partner selection based on adaptive genetic algorithm

open access: yesTongxin xuebao, 2009
To enhance the efficiency of corporation partner selection and optimization process in virtual corporations, an partner selection process and optimizations model for virtual corporations based on adaptive genetic algorithm were pre-sented.
LI Jian1   +3 more
doaj   +2 more sources

Design and Optimization of E-Commerce Logistics Distribution System Based on Multiobjective Function

open access: yesJournal of Control Science and Engineering, 2022
To reduce the complexity and multiple constraints of logistics distribution routing problems, the author proposes an improved genetic algorithm, adaptive immune genetic algorithm (AIGA).
Hui Wen
doaj   +1 more source

Development and validation of different chemometric-assisted spectrophotometric methods for determination of cefoxitin-sodium in presence of its alkali-induced degradation product

open access: yesFuture Journal of Pharmaceutical Sciences, 2018
This work, introduces different powerful chemometric methods for determination of cefoxitin-sodium in presence of its alkali-induced degradation product without prior separation steps, dubbed; Principal component regression, Partial least squares with ...
Khalid Abdel-Salam M. Attia   +3 more
doaj   +1 more source

Application of Genetic Algorithm in Portfolio Selection Problem [PDF]

open access: yesفصلنامه پژوهش‌های اقتصادی ایران, 2004
One of the classical applications of operation research in investment decision making is the portfolio selection problem. In this problem a fixed sum of money is to be spread among different investments and there is a risk associated with the rate of ...
Simin Abdolalizadeh Shahir   +1 more
doaj  

Association Between Individualized Education for Kidney Replacement Therapy Modality Selection and Peritoneal Dialysis Initiation: A Cross‐Sectional Study

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito   +7 more
wiley   +1 more source

Research on Radio Network Intelligent Frequency Selection Technology Based on an Adaptive Genetic Algorithm

open access: yesDianxin kexue, 2015
In order to solve the problem of selecting frequency more and more difficultly for radio network,an intelligent frequency selection technology based on an adaptive genetic algorithm was proposed.Frequencies were selected for whole radio network from the ...
Wenjun Wang
doaj   +2 more sources

Prototype Selection for Dissimilarity Representation by a Genetic Algorithm [PDF]

open access: yes2010 20th International Conference on Pattern Recognition, 2010
Dissimilarities can be a powerful way to represent objects like strings, graphs and images for which it is difficult to find good features. The resulting dissimilarity space may be used to train any classifier appropriate for feature spaces. There is, however, a strong need for dimension reduction.
Yenisel Plasencia Calana   +3 more
openaire   +2 more sources

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