Search Results - (( using function based algorithm ) OR ( software optimization model algorithm ))
Search alternatives:
- software optimization »
- optimization model »
- model algorithm »
- using function »
-
1
-
2
Particle swarm optimization and spiral dynamic algorithm-based interval type-2 fuzzy logic control of triple-link inverted pendulum system : a comparative assessment
Published 2021“…It is envisaged that this system and control algorithm can be very useful for the development of a mobile robot with extended functionality.…”
Get full text
Get full text
Get full text
Article -
3
Single-objective and multi-objective optimization algorithms based on sperm fertilization procedure / Hisham Ahmad Theeb Shehadeh
Published 2018“…The SSO is tested with several benchmark functions used in the area of optimization. The obtained results are compared with the results of four algorithms. …”
Get full text
Get full text
Get full text
Thesis -
4
Application of conjugate gradient approach for nonlinear optimal control problem with model-reality difference
Published 2018“…For illustration, an economic growth problem is solved by using the algorithm proposed. The results obtained demonstrate the efficiency of the algorithm proposed. …”
Get full text
Get full text
Get full text
Article -
5
OPTIMAL DESIGN AND ANALYSIS OF A DC–DC SYNCHRONOUS CONVERTER USING GENETIC ALGORITHM AND SIMULATED ANNEALING
Published 2009“…A constrained optimization on the objective function is performed using GA and SA, and optimal parameters are derived. …”
Get full text
Get full text
Citation Index Journal -
6
OPTIMAL DESIGN AND ANALYSIS OF A DC–DC SYNCHRONOUS CONVERTER USING GENETIC ALGORITHM AND SIMULATED ANNEALING
Published 2009“…A constrained optimization on the objective function is performed using GA and SA, and optimal parameters are derived. …”
Get full text
Get full text
Citation Index Journal -
7
Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems
Published 2022“…Moreover, adaptive teaching learning-based optimization is used to search for near-optimal values for the four parameters of the COCOMO II model, which are then tested for validity on a software project of NASA. …”
Get full text
Get full text
Get full text
Article -
8
Thermoelectric cooler identification based on continuous-time hammerstein model using metaheuristics algorithm
Published 2021“…Efficiency of the hMVOSCA algorithm also evaluated based on the convergence curve, bode plot of the linear subsystem, function plot of the nonlinear subsystem, and statistical performance value. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
9
Development of improved metaheuristic algorithms for modelling and control of a flexible manipulator system
Published 2019“…The developed algorithms are formulated based on a spiral model approach and a sine model approach. …”
Get full text
Get full text
Research Report -
10
Improved cuckoo search based neural network learning algorithms for data classification
Published 2014“…On the other hand, LM algorithms which are derivative based algorithms still face a risk of getting stuck in local minima. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
11
Evaluation of optimal MLP structure for heart disease diagnosis / Salbiah Ab Hamid
Published 2010“…A transfer function simulation model is developed by using the MATLAB software. …”
Get full text
Get full text
Thesis -
12
Fuzzy logic – genetic algorithm based maximum power point tracking in photovoltaic system
Published 2012“…The near optimum design membership functions and control rules were found simultaneously by genetic algorithms (GAs) which are search algorithms based the mechanism of natural selection and genetics. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
13
Support directional shifting vector: A direction based machine learning classifier
Published 2021“…The positional error of the linear function has been modelled as a loss function which is iteratively optimized using the gradient descent algorithm. …”
Get full text
Get full text
Get full text
Article -
14
-
15
Model predictive control on fed-batch penicillin fermentation process
Published 2009“…In this research study the development of optimization strategies for a fed-batch penicillin fermentation process using model predictive controller was simulated using MATLAB 7.1 software. …”
Get full text
Get full text
Undergraduates Project Papers -
16
Methodology for modified whale optimization algorithm for solving appliances scheduling problem
Published 2020“…Whale Optimization Algorithm (WOA) is considered as one of the newest metaheuristic algorithms to be used for solving a type of NP-hard problems. …”
Get full text
Get full text
Get full text
Article -
17
Investigation of firefly algorithm and chaos firefly algorithm for load prequency control / Zaid Najid
Published 2015“…In this project, the integral of time multiply squared error (ITSE) as the objective function is used on the ACE. The model of the system is designed using Matlab software to carry out simulation studies. …”
Get full text
Get full text
Thesis -
18
Reliability-aware swarm based multi-objective optimization for controller placement in distributed SDN architecture
Published 2023“…A metaheuristic Particle Swarm Optimization (PSO) algorithm was combined with RDMCP to form a hybrid approach that improves objective function optimization in terms of reliability and cost-effectiveness. …”
Get full text
Get full text
Article -
19
Dung Beetle Optimization algorithm for predicting damage to 2D truss structures
Published 2025“…This study predicts the degree of damage in 2D truss members using the Dung Beetle Optimization algorithm (DBO) in conjunction with finite element analysis for searching natural frequencies. …”
Get full text
Get full text
Get full text
Article -
20
Optimizing the production of valuable metabolites using a hybrid of constraint-based model and machine learning algorithms : A review
Published 2023“…This review paper summarizes research on the hybrid of constraint-based models and machine learning algorithms in optimizing valuable metabolites. …”
Get full text
Get full text
Get full text
Article
