Search Results - (( using function window algorithm ) OR ( using optimization approach algorithm ))
Search alternatives:
- optimization approach »
- window algorithm »
- using function »
-
1
Fair bandwidth distribution marking and scheduling algorithm in network traffic classification
Published 2019“…Second, an Optimized time sliding window packet marker (OTSWTCM) algorithm. …”
Get full text
Get full text
Thesis -
2
Optimised Crossover Genetic Algorithms for Combinatorial Optimisation Problems
Published 2010“…Most of the current methods of crossover determine o®spring by using a stochastic approach and without reference to the objective function with the result being that a potentially optimal solution could be lost through incorrect choices being made in the randomisation process. …”
Get full text
Get full text
Thesis -
3
Network calculus-based latency for time-triggered traffic under Flexible Window-Overlapping Scheduling (FWOS) in a Time-Sensitive Network (TSN)
Published 2021“…Accordingly, more relaxed scheduling algorithms are required. In this paper, we introduce the flexible window-overlapping scheduling (FWOS) algorithm that optimizes the overlapping among TT windows by three different metrics: the priority of overlapping, the position of overlapping, and the overlapping ratio (OR). …”
Get full text
Get full text
Article -
4
Sliding Window for Radial Basis Function Neural Network Face Detection
Published 2014“…This paper present a Radial Basis Function Neural Network (RBFNN) face detection using sliding windows. …”
Get full text
Get full text
Get full text
Article -
5
Application of minimax algorithm in dots and boxes game
Published 2025“…The research process included designing and developing a functional Dots and Boxes game prototype using C# and the Universal Windows Platform (UWP), featuring a user-friendly interface and customizable settings. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
6
Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…In the online phase, the stream clustering algorithm for trajectories based on the lifespan of the cluster is proposed (CC_TRS) to overcome the limitations of the time window technique. …”
Get full text
Get full text
Thesis -
7
Ensemble learning using multi-objective optimisation for arabic handwritten words
Published 2021“…In this thesis, new type of feature for handwriting using Segments Interpolation (SI) to find the best fitting line in each of the windows with a model for finding the best operating point window size for SI features. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
8
Ciphercrypt-an Encryption System / Nor Hidayah Ngah
Published 2004“…The hashed keyword will be used in encrypt / decrypt process by using any of 3 encryption algorithm mentioned before. …”
Get full text
Get full text
Thesis -
9
Review of Multi-Objective Swarm Intelligence Optimization Algorithms
Published 2021“…The MOSI algorithms are based on the integration of single objective algorithms and multi-objective optimization (MOO) approach. …”
Get full text
Get full text
Article -
10
-
11
New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems
Published 2024“…In the fourth phase, the newly developed algorithm undergoes testing on the formulated ROOPs and compared to several contemporary optimizer algorithms. …”
Get full text
Get full text
Thesis -
12
-
13
AN ENSEMBLE APPROACH OF METAHEURISTIC ALGORITHMS WITH PARABOLIC APPROXIMATION TO OPTIMIZE WELL PLACEMENT PROBLEM
Published 2021“…In previous research, classical and non-classical optimization techniques were used to solve well placement optimization problem. …”
Get full text
Get full text
Thesis -
14
Application of conjugate gradient approach for nonlinear optimal control problem with model-reality differences
Published 2018“…In our approach, the linear quadratic optimal control model, which is adding the adjusted parameters into the model used, is employed. …”
Get full text
Get full text
Get full text
Article -
15
Application of conjugate gradient approach for nonlinear optimal control problem with model-reality difference
Published 2018“…In our approach, the linear quadratic optimal control model, which is adding the adjusted parameters into the model used, is employed. …”
Get full text
Get full text
Get full text
Article -
16
Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation
Published 2022“…A new meta-heuristic optimization technique called the Slime Mould Algorithm (SMA) approach has a high convergence rate or a few iterations and superior optimization indices analyzed against other algorithms. …”
Get full text
Get full text
Thesis -
17
Modelling of optimal placement and sizing of battery energy storage system using hybrid whale optimization algorithm and artificial immune system for total system losses reduct...
Published 2023“…Besides, an optimization algorithm with high efficiency is important to ensure the attainment of optimal solutions, where the optimization algorithms like genetic algorithm and particle swarm optimization are known to have high possibility of being trapped in local optimal points. …”
text::Thesis -
18
Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem
Published 2023“…The evolutionary algorithm has been extensively used to solve a range of combinatorial optimization problems. …”
Get full text
Get full text
Get full text
Get full text
Article -
19
Design of radix-4 single path delay fast fourier transform processor with genetic algorithms optimization
Published 2011“…Two MOGA methods are used; they are Weighted Sum approach and Non-dominated Sorting Approach. …”
Get full text
Get full text
Thesis -
20
Investigation of gateway placement optimization approaches in wireless mesh networks using genetic algorithms
Published 2014“…The investigation result shows that the genetic algorithms based approaches on solving gateway optimization problem relatively outperform many other approaches in addition to that the strength of the genetic algorithm depends on the fitness function which is used in measuring the quality of the individuals (fitness value).…”
Get full text
Get full text
Get full text
Get full text
Proceeding Paper
