8 citations · 11 across the 6 of their papers we have counts for
7 papers
Boosting KNNClassifier Performance with Opposition-Based Data Transformation
Abdesslem Layeb
In this paper, we introduce a novel data transformation framework based on Opposition-Based Learning (OBL) to boost the performance of traditional classification algorithms. Origin…
Trochoid Search Optimization
Abdesslem Layeb
This paper introduces the Trochoid Search Optimization Algorithm (TSO), a novel metaheuristic leveraging the mathematical properties of trochoid curves. The TSO algorithm employs a…
CKmeans and FCKmeans : Two deterministic initialization procedures for Kmeans algorithm using a modified crowding distance
Abdesslem Layeb
This paper presents two novel deterministic initialization procedures for K-means clustering based on a modified crowding distance. The procedures, named CKmeans and FCKmeans, use…
New hard benchmark functions for global optimization
Abdesslem Layeb
In this paper, we present some new unimodal, multimodal, and noise test functions to assess the performance of global optimization algorithms. All the test functions are multidimen…
Two novel feature selection algorithms based on crowding distance
Abdesslem Layeb
In this paper, two novel algorithms for features selection are proposed. The first one is a filter method while the second is wrapper method. Both the proposed algorithms use the c…
The Tangent Search Algorithm for Solving Optimization Problems
Abdesslem Layeb
This article proposes a new population-based optimization algorithm called the Tangent Search Algorithm (TSA) to solve optimization problems. The TSA uses a mathematical model base…
A new greedy randomized adaptive search procedure for multiobjective RNA structural alignment
Abdesslem Layeb, Amira Boudra, Wissem Korichi +1
RNA secondary structures prediction is one of the main issues in bioinformatics. It seeks to elucidate structural conserved regions within a set of RNA sequences. Unfortunately, fi…