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Android Malware Detection Using Machine Learning with Feature Selection Based on the Genetic Algorithm

Mathematics, 2021
Since the discovery that machine learning can be used to effectively detect Android malware, many studies on machine learning-based malware detection techniques have been conducted.
Jaehyeong Lee, Hyuk Jang, Sungmin Ha, Yourim Yoon   +3 more
doaj   +1 more source

Hierarchical Mission Planning for Cleaning Photovoltaic Panels Based on Improved Genetic Algorithm

Shanghai Jiaotong Daxue xuebao, 2021
Aimed at the mission planning for cleaning photovoltaic panels in large-area photovoltaic plants with mobile cleaning robots, a district planning strategy is hereby proposed.
LI Cuiming, WANG Ning, ZHANG Chen
doaj   +1 more source

Load Balancing Selection Method and Simulation in Network Communication Based on AHP-DS Heterogeneous Network Selection Algorithm

Complexity, 2021
This article proposes an Analytic Hierarchy Process Dempster-Shafer (AHP-DS) and similarity-based network selection algorithm for the scenario of dynamic changes in user requirements and network environment; combines machine learning with network ...
Weiwei Xiao
doaj   +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, Boban Vesin, Boban Vesin, Aleksandar Selakov, Lasse Berntzen   +4 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
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, puria vafadoust sabzevar   +1 more
doaj   +1 more source

Design of Comminution Plants in the Ceramic Industry Using a Simulation-based Optimization Approach

Ingeniería e Investigación, 2021
In many cases, the design process of a structural ceramic comminution plant typically consists of an ‘expert designer’ who makes decisions using intuitive criteria to select commercial equipment.
Ignacio Ortiz de Landazuri Suárez, María José Oliveros Colay   +1 more
doaj   +1 more source

On Solving 0/1 Multidimensional Knapsack Problem with a Genetic Algorithm Using a Selection Operator Based on K-Means Clustering Principle

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, Naimi Mohamed, Amri Hassan El, Achchab Boujemâa   +3 more
doaj   +1 more source

A Comparative Analysis of Hybridized Genetic Algorithm in Predictive Models of Breast Cancer Tumors

IEEE Access, 2023
Advancement in computer-aided tools towards accurate breast cancer early prediction models has proven to be advantageous, which in turn helps to reduce the mortality rate associated with this cancer.
Joyce A. Ayoola, Tokunbo Ogunfunmi
doaj   +1 more source

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