Search Results - (( numerical optimization techniques algorithm ) OR ( java implementation learning algorithm ))
Search alternatives:
- optimization techniques »
- implementation learning »
- java implementation »
- learning algorithm »
-
1
Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm
Published 2008“…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
Get full text
Get full text
Get full text
Thesis -
2
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 -
3
A modified crow search algorithm with niching technique for numerical optimization
Published 2019Get full text
Get full text
Conference or Workshop Item -
4
A modified crow search algorithm with niching technique for numerical optimization
Published 2019Get full text
Get full text
Conference or Workshop Item -
5
A new experiential learning electromagnetism-like mechanism for numerical optimization
Published 2023“…Decision making; Population statistics; Decision-making mechanisms; Electromagnetism-like mechanism algorithms; Electromagnetism-like mechanisms; Experiential learning; Exploitation; Meta heuristics; Numerical optimizations; Optimization techniques; Optimization…”
Article -
6
Vibrant search mechanism for numerical optimization functions
Published 2018Get full text
Get full text
Get full text
Article -
7
A hybrid numerical approach for multi-responses optimization of process parameters and catalyst compositions in CO2 OCM process over CaO-MnO/CeO2 catalyst
Published 2005“…The hybrid numerical approach combined the single-response modeling and optimization using Response Surface Methodology (RSM) and WSSOF technique of multi-responses optimization. …”
Get full text
Get full text
Get full text
Article -
8
DEVELOPMENT OF A NUMERICAL OPTIMIZATION TOOL FOR FPSO MOORING LINE PARAMETERS
Published 2023“…Hence, the main objective of this research is to develop a numerical optimization tool (MooOpT4FPSO) that optimizes mooring line design parameters of FPSO using Regrouping Particle Swarm Optimization (RegPSO) technique. …”
Get full text
Get full text
Thesis -
9
Simulated kalman filter with modified measurement, substitution mutation and hamming distance calculation for solving traveling salesman problem
Published 2022“…Purpose – The purpose of the research is to solve Travelling Salesman Problem (TSP) using Simulated Kalman Filter (SKF) algorithm and single-solution SKF (ssSKF) algorithm based on numerical ordering technique. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
10
Development and applications of metaheuristic algorithms in engineering design and structural optimization / Ali Sadollah
Published 2013“…Metaheuristic algorithms have been extensively used in numerous domains especially in engineering. …”
Get full text
Get full text
Thesis -
11
A Modified Simulated Kalman Filter Optimizer with State Measurement, Substitution Mutation, Hamming Distance Calculation, and 2-Opt Operator
Published 2021“…However, the SKF is limited to operating in the numerical search space only. Numerous techniques and modifications have been made to numerical meta-heuristic algorithms in the literature in order to enable them to operate in a discrete search space. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
12
Feedforward neural network for solving particular fractional differential equations
Published 2024“…This research aims to develop a scheme based on a feedforward neural network (FNN) with a vectorized algorithm (FNNVA) for solving FDEs in the Caputo sense (FDEsC) using selected first-order optimization techniques: simple gradient descent (GD), momentum method (MM), and adaptive moment estimation method (Adam). …”
Get full text
Get full text
Get full text
Thesis -
13
Optimal placement and sizing of dgs in distribution networks using mlpso algorithm
Published 2023Article -
14
A new experiential learning electromagnetism-like mechanism for numerical optimization
Published 2017“…The Electromagnetism-like Mechanism algorithm (EM) is a population-based search algorithm which has shown good achievements in solving various types of complex numerical optimization problems so far. …”
Get full text
Get full text
Article -
15
An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…Implemented with Java, this tool provides a friendly GUI for setting the parameters and display the result from where the learner can see how the selected algorithm converges for a particular problem solution. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
16
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
Get full text
Get full text
Get full text
Thesis -
17
A Modified Simulated Kalman Filter Optimizer with State Measurement, Substitution Mutation, Hamming Distance Calculation, and Swap Operator
Published 2021“…The modified algorithm is called Discrete Simulated Kalman Filter Optimizer (DSKFO). …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
18
Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions
Published 2018“…The second technique is to solve bi-objective functions by using the BOBAT algorithm. …”
Get full text
Get full text
Thesis -
19
Extended Bat Algorithm (EBA) as an improved searching optimization algorithm
Published 2018“…The results show that EBA outperforms original Bat Algorithm (BA) and Particle Swarm Optimization (PSO) in almost test functions and successfully optimizes the numerical problems.…”
Get full text
Get full text
Get full text
Get full text
Get full text
Book Chapter -
20
Multi-Agent cubature Kalman optimizer: A novel metaheuristic algorithm for solving numerical optimization problems
Published 2024“…MACKO is evaluated on the CEC 2014 benchmark suite with 30 optimization problems, and its performance is compared with nine existing metaheuristic algorithms. …”
Get full text
Get full text
Get full text
Article
