Multiclass feature selection with metaheuristic optimization algorithms: a review
Selecting relevant feature subsets is vital in machine learning, and multiclass feature
selection is harder to perform since most classifications are binary. The feature selection …
selection is harder to perform since most classifications are binary. The feature selection …
Flower pollination algorithm: a comprehensive review
M Abdel-Basset, LA Shawky - Artificial Intelligence Review, 2019 - Springer
Flower pollination algorithm (FPA) is a computational intelligence metaheuristic that takes its
metaphor from flowers proliferation role in plants. This paper provides a comprehensive …
metaphor from flowers proliferation role in plants. This paper provides a comprehensive …
A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection
Because of their high dimensionality, dealing with large datasets can hinder the data mining
process. Thus, the feature selection is a pre-process mandatory phase for reducing the …
process. Thus, the feature selection is a pre-process mandatory phase for reducing the …
An improved binary sparrow search algorithm for feature selection in data classification
Feature Selection (FS) is an important preprocessing step that is involved in machine
learning and data mining tasks for preparing data (especially high-dimensional data) by …
learning and data mining tasks for preparing data (especially high-dimensional data) by …
Variants of the flower pollination algorithm: a review
The flower pollination algorithm (FPA) is a nature-inspired algorithm that imitates the
pollination behavior of flowering plants. Optimal plant reproduction strategy involves the …
pollination behavior of flowering plants. Optimal plant reproduction strategy involves the …
Feature selection approach based on whale optimization algorithm
In this paper, a feature selection system is introduced applies the whale optimization
algorithm (WOA). WOA is a recently introduced meta-heuristic optimization algorithm that …
algorithm (WOA). WOA is a recently introduced meta-heuristic optimization algorithm that …
Hybrid binary bat enhanced particle swarm optimization algorithm for solving feature selection problems
MA Tawhid, KB Dsouza - Applied Computing and Informatics, 2018 - emerald.com
In this paper, we present a new hybrid binary version of bat and enhanced particle swarm
optimization algorithm in order to solve feature selection problems. The proposed algorithm …
optimization algorithm in order to solve feature selection problems. The proposed algorithm …
An improved moth flame optimization algorithm based on rough sets for tomato diseases detection
Plant diseases is one of the major bottlenecks in agricultural production that have bad
effects on the economic of any country. Automatic detection of such disease could minimize …
effects on the economic of any country. Automatic detection of such disease could minimize …
[PDF][PDF] Flower pollination algorithm for feature selection in tweets sentiment analysis
Text-based social media platforms have developed into important components for
communication between customers and businesses. Users can easily state their thoughts …
communication between customers and businesses. Users can easily state their thoughts …
Enhanced metaheuristic optimization: Wind-driven flower pollination algorithm
M Lei, Y Zhou, Q Luo - IEEE Access, 2019 - ieeexplore.ieee.org
The flower pollination algorithm is a new metaheuristic optimization technique that simulates
the pollination behavior of flowers in nature. The global and local search processes of the …
the pollination behavior of flowers in nature. The global and local search processes of the …