-
1
-
2
Predicting insulin dosage for diabetic patients to reach optimal glucose levels. (c2012)
Published 2012Get full text
Get full text
masterThesis -
3
Teaching–learning-based optimization algorithm: analysis study and its application
Published 2024Subjects: “…Teaching–learning-based optimization algorithm…”
Get full text
-
4
Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting
Published 2011Get full text
doctoralThesis -
5
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. …”
-
6
Application of Red Deer Algorithm in Optimizing Complex functions
Published 2021Subjects: Get full text
Get full text
-
7
-
8
A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)
Published 2011Get full text
Get full text
masterThesis -
9
Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems
Published 2023“…The proposed method is based on enhancing the search process of the Prairie Dog Optimization Algorithm (PDOA) by using the primary updating mechanism of the Dwarf Mongoose Optimization Algorithm (DMOA). …”
Get full text
-
10
Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach
Published 2025“…The convolutional neural network is optimized using genetic algorithms, which dynamically tune hyper-parameters such as learning rate, batch size, and momentum to improve performance and generalizability across diverse environmental conditions. …”
-
11
-
12
The buffered work-pool approach for search-tree based optimization algorithms
Published 2017Get full text
Get full text
Get full text
Get full text
conferenceObject -
13
Natural optimization algorithms for optimal regression testing
Published 1997“…The present two natural optimization algorithms, namely simulated annealing and genetic algorithms, for solving this problem. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
14
Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications
Published 2023Subjects: “…Gradient-Based Optimizer…”
Get full text
-
15
Tensile Test Optimization Using the Design of Experiment and Soft Computing
Published 2023“…This study employs a hybrid soft computing approach, integrating an adaptive network-based fuzzy inference system (ANFIS), genetic algorithm (GA) optimization, and design of experiments (DOE). …”
-
16
-
17
The Hybrid Framework for Multi-objective Evolutionary Optimization Based On Harmony Search Algorithm
Published 2017“…In evolutionary multi-objective optimization, an evolutionary algorithm is invoked to solve an optimization problem involving concurrent optimization of multiple objective functions. …”
Get full text
Get full text
-
18
Archive-based coronavirus herd immunity algorithm for optimizing weights in neural networks
Published 2023“…Coronavirus herd immunity optimizer (CHIO) is a recent metaheuristic human-based algorithm stemmed from the herd immunity mechanism as a way to treat the spread of the coronavirus pandemic. …”
Get full text
Get full text
-
19
A multi-objective planning approach for optimal DG allocation for droop based microgrids
Published 2021“…The proposed formulation is compared to existing planning algorithms for droop-based microgrids. The re-sults show that including the secondary control region in the optimization problem achieves lower volt-age deviations and no frequency deviations at all demand levels. …”
Get full text
article -
20
