Results 21 to 30 of about 914,839 (313)

Improving Floating Search Feature Selection using Genetic Algorithm

Journal of ICT Research and Applications, 2017
Classification, a process for predicting the class of a given input data, is one of the most fundamental tasks in data mining. Classification performance is negatively affected by noisy data and therefore selecting features relevant to the problem is a ...
Kanyanut Homsapaya, Ohm Sornil
doaj   +1 more source

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

Journal 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

Genetic algorithm feature selection resilient to increasing amounts of data imputation

Proceedings 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

Tongxin 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, JING Bo2, NIU Shao-zhang1, YANG Yi-xian1   +3 more
doaj   +2 more sources

Evolutionary Schema of Modeling Based on Genetic Algorithms

Studies in Logic, Grammar and Rhetoric, 2015
In this paper, I propose a populational schema of modeling that consists of: (a) a linear AFSV schema (with four basic stages of abstraction, formalization, simplification, and verification), and (b) a higher-level schema employing the genetic algorithm (
Stacewicz Paweł
doaj   +1 more source

Application of Genetic Algorithm in Portfolio Selection Problem [PDF]

فصلنامه 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, Koroush Eshghi   +1 more
doaj  

Two-stage hybrid genetic algorithm for robot cloud service selection

Journal of Cloud Computing: Advances, Systems and Applications, 2023
Robot cloud service platform is a combination of cloud computing and robotics, providing intelligent cloud services for many robots. However, to select a cloud service that satisfys the robot’s requirements from the massive services with different QoS ...
Lei Yin, Jin Liu, Yadong Fang, Ming Gao, Ming Li, Fengyu Zhou   +5 more
doaj   +1 more source

GCMD: Genetic Correlation Multi-Domain Virtual Network Embedding Algorithm

IEEE Access, 2021
With the increase of network scale and the complexity of network structure, the problems of traditional Internet have emerged. At the same time, the appearance of network function virtualization (NFV) and network virtualization technologies has largely ...
Peiying Zhang, Xue Pang, Godfrey Kibalya, Neeraj Kumar, Shuqing He, Bin Zhao   +5 more
doaj   +1 more source

TOMM20 as a driver of cancer aggressiveness via oxidative phosphorylation, maintenance of a reduced state, and resistance to apoptosis

Molecular Oncology, EarlyView.
TOMM20 increases cancer aggressiveness by maintaining a reduced state with increased NADH and NADPH levels, oxidative phosphorylation (OXPHOS), and apoptosis resistance while reducing reactive oxygen species (ROS) levels. Conversely, CRISPR‐Cas9 knockdown of TOMM20 alters these cancer‐aggressive traits.
Ranakul Islam, Megan E. Roche, Zhao Lin, Diana Whitaker‐Menezes, Victor Diaz‐Barros, Eurico Serrano, Maria Paula Martinez Cantarin, Nancy J. Philp, Atrayee Basu Mallick, Ubaldo Martinez‐Outschoorn   +9 more
wiley   +1 more source

Modified Floating Search Feature Selection Based on Genetic Algorithm

MATEC Web of Conferences, 2018
Classification performance is adversely impacted by noisy data .Selecting features relevant to the problem is thus a critical step in classification and difficult to achieve accurate solution, especially when applied to a large data set. In this article,
Homsapaya Kanyanut, Sornil Ohm
doaj   +1 more source