Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Advances in nature-inspired metaheuristic optimization for feature selection problem: A comprehensive survey
The main objective of feature selection is to improve learning performance by selecting
concise and informative feature subsets, which presents a challenging task for machine …
concise and informative feature subsets, which presents a challenging task for machine …
Continuous metaheuristics for binary optimization problems: An updated systematic literature review
For years, extensive research has been in the binarization of continuous metaheuristics for
solving binary-domain combinatorial problems. This paper is a continuation of a previous …
solving binary-domain combinatorial problems. This paper is a continuation of a previous …
Adaptive binary bat and markov clustering algorithms for optimal text feature selection in news events detection model
Wrapper Feature Selection (FS) methods based on the Binary Bat Algorithm (BBA) have
recently been employed in a variety of detection applications to determine the most relevant …
recently been employed in a variety of detection applications to determine the most relevant …
Improvements of bat algorithm for optimal feature selection: A systematic literature review
Bat Algorithm (BA) has been extensively applied as an optimal Feature Selection (FS)
technique for solving a wide variety of optimization problems due to its impressive …
technique for solving a wide variety of optimization problems due to its impressive …
[PDF][PDF] Wrapper-based metaheuristic optimization algorithms for android malware detection: a correlative analysis of firefly, bat & whale optimization
SJ Chakravarthy - J Hunan Univ, 2021 - academia.edu
Recently, Android malware threats have been increasing at a rapid pace along with their
usage and popularity. Different studies have elucidated the importance of analyzing the …
usage and popularity. Different studies have elucidated the importance of analyzing the …
A New Discretization Approach of Bat and K-Means
R Mohamed, NA Samsudin - International Journal of …, 2021 - search.proquest.com
Bat algorithm is one of the optimization techniques that mimic the behavior of bat. Bat
algorithm is a powerful algorithm in finding the optimum feature data collection …
algorithm is a powerful algorithm in finding the optimum feature data collection …
[PDF][PDF] Learning Machine Based on Optimized Dimensionality Reduction Algorithm for Fault Diagnosis of Rotor Broken Bars in Induction Machine
Accepted: 29 July 2022 Induction machine health monitoring is considered a develo**
technology for the online detection of faults that occur even at the initial stage. The objective …
technology for the online detection of faults that occur even at the initial stage. The objective …
Theoretical Development based Nature-Inspired Optimization Algorithms: Applications and Challenges
The process to achieve optimal solutions is becoming complex as the data generation is
being proliferated. The intelligent metaheuristics algorithms are being recognized to obtain …
being proliferated. The intelligent metaheuristics algorithms are being recognized to obtain …
Advancements in Bat algorithm
A Kaur, Y Kumar, J Sidhu - Computational Methods in Science …, 2025 - taylorfrancis.com
The modern times have led to the adoption of distinctive meta-heuristic procedures for
solving distinct class of optimization-problems. The meta-heuristics procedures have benefit …
solving distinct class of optimization-problems. The meta-heuristics procedures have benefit …
Advancements in Bat algorithm
Y Kumar, J Sidhu - … in Science and Technology: Proceedings of …, 2024 - books.google.com
The modern times have led to the adoption of distinctive meta-heuristic procedures for
solving distinct class of optimization-problems. The meta-heuristics procedures have benefit …
solving distinct class of optimization-problems. The meta-heuristics procedures have benefit …