-
1
An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection
Published 2022“…In this paper, a recent swarm intelligence metaheuristic method called RSO which is inspired by the social and hunting behavior of a group of rats is enhanced and explored for FS problems. The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …”
-
2
A genetic algorithm for corrective retesting. (c1995)
Published 1995Get full text
Get full text
masterThesis -
3
Genetic and heuristic algorithms for regrouping service sites. (c2000)
Published 2000Get full text
Get full text
masterThesis -
4
-
5
Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems
Published 2022“…This optimization technique modifies the base algorithm (DMO) in three simple but effective ways. …”
Get full text
-
6
Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
Published 2024“…Additionally, the multi-objective genetic algorithm (MOGA) was utilised to extract the most optimal parameters for the injection moulding process, aiming to minimise shear and residual stress and thereby increase the resistance of the final product. …”
-
7
Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
Published 2024“…For mass fundus image-based glaucoma classification, an improved automated computer-aided diagnosis (CAD) model performing binary classification (glaucoma or healthy), allowing ophthalmologists to detect glaucoma disease correctly in less computational time. …”
-
8
-
9
Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter
Published 2019“…Since, PWAM control algorithm is more complex than PSCPWM, FPGA based implementation for PWAM control is discussed. …”
-
10
Correlation Clustering via s-Club Cluster Edge Deletion
Published 2023Get full text
Get full text
Get full text
masterThesis -
11
-
12
Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images
Published 2022“…The main novelty of this work is the computer-aided diagnosis scheme for detecting abnormalities in breast ultrasound images by integrating a wavelet neural network (WNN) and the grey wolf optimization (GWO) algorithm. Here, breast ultrasound (US) images are preprocessed with a sigmoid filter followed by interference-based despeckling and then by anisotropic diffusion. …”
-
13
-
14
On-site workshop investment problem: A novel mathematical approach and solution procedure
Published 2023“…Next, due to the NP-hardness of the problem, an enhanced Genetic Algorithm (GA)-based metaheuristic with efficient problem-specific improvement rules as local search and effective crossover and mutation operators is proposed. …”
-
15
FPGA-Based Network Traffic Classification Using Machine Learning
Published 2019Get full text
doctoralThesis -
16
-
17
Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT)
Published 2015“…Looking at the historical data of students, fuzzy logic can be used to develop rules based on these data. Genetic Algorithm would be used to optimize the performance of the system.…”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
18
Development of a deep learning-based group contribution framework for targeted design of ionic liquids
Published 2024“…Correlation results align with the experimental data, affirming the applicability of our framework. Finally, the algorithm is employed in a CO<sub>2</sub> capture case study to generate and select the best-performing novel ILs, which exhibit behavior consistent with established ILs in the literature.…”
-
19
A method for data path synthesis using neural networks
Published 2017“…The proposed algorithm has a running time complexity of O(1) for a neural network with n vertices and c cliques. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
20
A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns
Published 2023“…The important feature subset is identified using the modified Binary Grey Wolf Optimization Particle Swarm Optimization (BGWOPSO) algorithm. …”
