Search Results - (( global optimization method algorithm ) OR ( program validation using algorithm ))
Search alternatives:
- program validation »
- method algorithm »
- validation using »
- using algorithm »
-
1
Optimal power flow based on fuzzy linear programming and modified Jaya algorithms
Published 2017“…The proposed algorithms have been examined and validated using the IEEE 30-bus and IEEE 118-bus test systems. …”
Get full text
Get full text
Thesis -
2
Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…In general, genetic based clustering algorithms showed the ability to reach near global optimal solution. …”
Get full text
Get full text
Thesis -
3
Model structure selection for a discrete-time non-linear system using a genetic algorithm
Published 2004“…They offer many advantages such as global search characteristics, and this has led to the idea of using this programming method in modelling dynamic non-linear systems. …”
Get full text
Get full text
Article -
4
Model structure selection for a discrete-time non-linear system using a genetic algorithm
Published 2004“…They offer many advantages such as global search characteristics, and this has led to the idea of using this programming method in modelling dynamic non-linear systems. …”
Get full text
Get full text
Article -
5
Model structure selection for a discrete-time non-linear system using genetic algorithm
Published 2004“…They offer many advantages such as global search characteristics, and this has led to the idea of using this programming method in modelling dynamic non-linear systems. …”
Get full text
Get full text
Get full text
Article -
6
Neural network modeling and optimization for spray-drying coconut milk using genetic algorithm and particle swarm optimization
Published 2022“…The objective of this research is to develop and compare various ANN spray drying coconut milk models. Firstly, using MATLAB program, the ANN model is developed based on optimized topology and is then furthered optimized by genetic algorithm (GA) and particle swarm optimization (PSO) using MINITAB program. …”
Get full text
Get full text
Thesis -
7
Model structure selection for a discrete-time non-linear system using a genetic algorithm
Published 2004“…They offer many advantages such as global search characteristics, and this has led to the idea of using this programming method in modelling dynamic non-linear systems. …”
Get full text
Get full text
Article -
8
Development of a multi-objective optimization model for transport and environment in a closed-loop automotive supply chain
Published 2014“…The Multiobjective GSA (MOGSA) algorithm is adopted and then programmed using MATLAB software particularly to the MOACLSC. …”
Get full text
Get full text
Thesis -
9
Discrete-time system identification using genetic algorithm with single parent-based mating technique
Published 2024“…The methodology encompasses data acquisition, GA program development, SPM technique implementation, and simulation using MATLAB. …”
Get full text
Get full text
Get full text
Thesis -
10
Development of cost reduction mathematical model for natural gas transmission network system
Published 2012“…In this research, an Extended Genetic Algorithms (EGA) was investigated to solve the proposed mathematical model and to achieve global or near to global optimum solutions in a reasonable time. …”
Get full text
Get full text
Thesis -
11
Linear programming approach for scheduling sports league problems in Malaysia
Published 2017“…In order to solve the formulated LP model, we proposed several solution methods such as simplex and genetics algorithm. Besides, we also consider large problems in our formulated model as we introduced the cluster approach. …”
Get full text
Get full text
Get full text
Thesis -
12
Long-term optimal planning for renewable based distributed generators and plug-in electric vehicles parking lots toward higher penetration of green energy technology
Published 2025“…Moreover, to ensure realism, the model incorporates uncertainties related to stochastic variables such as the intermittent nature of RESs, EV energy and time variables, loads, and energy price fluctuations, using Monte Carlo Simulation (MCS) and the backward reduction method (BRM). A hybrid optimization algorithm addresses the proposed objectives, combining the non-dominated sorting genetic algorithm (NSGA-II) and multi-objective particle swarm optimization (MOPSO) to minimize the three distinct objective functions concurrently. …”
Article -
13
A Hybrid Method Based on Cuckoo Search Algorithm for Global Optimization Problems
Published 2018“…However, it undergoes the premature convergence problem for high dimensional problems because the algorithm converges rapidly. Therefore, we proposed a robust approach to solve this issue by hybridizing optimization algorithm, which is a combination of Cuckoo search algorithm and Hill climbing called CSAHC discovers many local optimum traps by using local and global searches, although the local search method is trapped at the local minimum point. …”
Get full text
Get full text
Get full text
Article -
14
Global gbest guided-artificial bee colony algorithm for numerical function optimization
Published 2018“…The two well-known honeybees-based upgraded algorithms, Gbest Guided Artificial Bee Colony (GGABC) and Global Artificial Bee Colony Search (GABCS), use the foraging behavior of the global best and guided best honeybees for solving complex optimization tasks. …”
Get full text
Get full text
Article -
15
Prioritizing CD4 count monitoring in response to ART in resource-constrained settings: a retrospective application of prediction-based classification
Published 2012“…Thus, methods to prioritize patients for CD4 count testing could improve treatment monitoring by optimizing resource allocation. …”
Get full text
Get full text
Get full text
Article -
16
A Comparison of Particle Swarm optimization and Global African Buffalo Optimization
Published 2020“…However, in this paper, a comparison between Particle Swarm Optimization (PSO) and Global African Buffalo Optimization (GABO) algorithms was performed. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
17
Hybridizing Invasive Weed Optimization with Firefly Algorithm for Unconstrained and Constrained Optimization Problems
Published 2017“…This study presents a hybrid invasive weed firefly optimization (HIWFO) algorithm for global optimization problems. …”
Get full text
Get full text
Get full text
Article -
18
Global Particle Swarm Optimization for High Dimension Numerical Functions Analysis
Published 2014“…The Particle Swarm Optimization (PSO) Algorithm is a popular optimization method that is widely used in various applications, due to its simplicity and capability in obtaining optimal results. …”
Get full text
Get full text
Get full text
Article -
19
A Novel Discrete Filled Function Algorithm in Solving Discrete Optimization Problems (S/O: 12408)
Published 2016“…Several global methods have been proposed for solving discrete optimization problems. …”
Get full text
Get full text
Monograph -
20
Algorithmic Loan Risk Prediction Method Based on PSO-EBGWO-Catboost
Published 2024“…In this method, the Gray Wolf optimized algorithm (EBGWO) is further optimized by particle swarm optimization (PSO), and when combined with it, the convergence performance of the model is improved, the parameters of the model are reduced, and the model is simplified. …”
Get full text
Get full text
Get full text
Article