Search Results - parallel generation ((search algorithm) OR (modified algorithm))
Search alternatives:
- search »
-
1
Dual search maximum power point algorithm based on mathematical analysis under partially-shaded conditions
Published 2016“…In this work, the perturb and observation (P&O) method based on duty cycle adjustment is introduced, which is modified to increase speed of the search and also to reduce the oscillation.The simulation and experimental works have been performed to investigate behavior and performance of the proposed algorithm. …”
Get full text
Get full text
Thesis -
2
Hybrid metaheuristics for QOS-aware service composition / Hadi Naghavipour
Published 2022“…As a result of this mapping study, five major hybridization strategies were identified in which two-third of solutions have been based on modifying algorithm operators or integration with another metaheuristic. …”
Get full text
Get full text
Get full text
Thesis -
3
Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems
Published 2018“…Additionally, the MTS algorithm is also implemented in parallel computing to produce parallel MTS for generating comparable solutions in shorter computational times. …”
Get full text
Get full text
Thesis -
4
Application of intelligence based genetic algorithm for job sequencing problem on parallel mixed-model assembly line
Published 2010“…A heuristic algorithm was introduced to generate the initial population for intelligence based genetic algorithm. …”
Get full text
Get full text
Get full text
Article -
5
Fruit-Fly Based Searching Algorithm For Cooperative Swarming Robotic System
Published 2013“…A number of benchmark function processes were conducted to assess the performance of proposed FOA (Fly Optimisation Algorithm).…”
Get full text
Get full text
Thesis -
6
PMT : opposition based learning technique for enhancing metaheuristic algorithms performance
Published 2020“…Nevertheless, many metaheuristic algorithms are still suffering from a low convergence rate because of the poor balance between exploration (i.e. roaming new potential search areas) and exploitation (i.e., exploiting the existing neighbors). …”
Get full text
Get full text
Thesis -
7
Scaled parallel iterative method for finding real roots of nonlinear equations
Published 2021“…However, these schemes are highly dependent on the midpoints of each interval in generating successive intervals. In this study, we propose a scaling function on some Weierstrass-like parallel iterative methods such that the procedures are less dependent on the generated midpoints, hence allowing a more efficient search for the zeros while reducing the width of the intervals. …”
Get full text
Get full text
Article -
8
Scaled parallel iterative method for finding real roots of nonlinear equations
Published 2021“…However, these schemes are highly dependent on the midpoints of each interval in generating successive intervals. In this study, we propose a scaling function on some Weierstrass-like parallel iterative methods such that the procedures are less dependent on the generated midpoints, hence allowing a more efficient search for the zeros while reducing the width of the intervals. …”
Get full text
Get full text
Article -
9
PMT: opposition-based learning technique for enhancing meta-heuristic performance
Published 2019“…Nevertheless, many meta-heuristic algorithms are still suffering from a low convergence rate because of the poor balance between exploration (i.e., roaming new potential search areas) and exploitation (i.e., exploiting the existing neighbors). …”
Get full text
Get full text
Get full text
Article -
10
A modified artificial neural network (ANN) algorithm to control shunt active power filter (SAPF) for current harmonics reduction
Published 2013“…The novelty control design is an artificial neural network (ANN) adopting a modified mathematical algorithm (a modified delta rule weight-updating W-H) and a suitable alpha value (learning rate value) which determines the filters optimal operation. …”
Get full text
Get full text
Conference or Workshop Item -
11
Improved criteria determination of an automated negative lightning return strokes characterisation using Brute-Force search algorithm
Published 2021“…Accordingly, the proposed Brute-Force search algorithm characterised the negative lightning return strokes parameters based on the seven parameters. …”
Get full text
Get full text
Thesis -
12
A hybrid bat–swarm algorithm for optimizing dam and reservoir operation
Published 2019“…One of the major challenges and difficulties to generate optimal operation rule for dam and reservoir operation are how efficient the optimization algorithm to search for the global optimal solution and the time-consume for convergence. …”
Get full text
Get full text
Article -
13
-
14
Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…On the other hand, existing stream data learning models with limited labelling have many limitations. Most importantly, algorithms that suffer from a limited capability to adapt to the evolving nature of data generated from network traffic are called concept drift. …”
Get full text
Get full text
Thesis -
15
A 'snowflake' geometrical representation for optimised degree six 3-modified chordal ring networks
Published 2016“…This research was aimed at the investigation of a new degree six chordal ring, the optimised degree six 3-modified chordal ring CHR6o3. A tree visualisation was constructed based on its connectivity to enable the generation of formulae for optimal diameter and average optimal path lengths. …”
Get full text
Get full text
Conference or Workshop Item -
16
A PI based coordinated maximum power point tracking controller for grid connected photovoltaic system / Md Haidar Islam
Published 2021“…The differences between conventional and other modified MPPT algorithms are explained in this research work. …”
Get full text
Get full text
Get full text
Thesis -
17
Restoration planning strategy of transmission system based on optimal energizing time of sectionalizing islands / Dian Najihah Abu Talib
Published 2019“…There are two discrete optimization techniques used in this work, which are the Artificial Bee Colony algorithm and Evolutionary Programming. Modification and simplification using parallel processing are done for both methods to grossly search the optimal solution and to minimize the program running time, respectively. …”
Get full text
Get full text
Get full text
Thesis -
18
Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…The TIP model is based on translation of the discernibility relation of a Decision System (DS) into an Integer Programming (IP) model, resolved by using the branch and bound search method in order to generate the full reduct of the DS. …”
Get full text
Get full text
Thesis -
19
OPTIMIZATION OF TWO FISH ENCRYPTION ALGORITHM ON FPGA
Published 2004“…The demand for efficient and secure ciphers has given rise to a new generation of block ciphers capable of providing increased protection at lower cost. …”
Get full text
Get full text
Final Year Project -
20
FPGA-based Implementation of SHA-256 with Improvement of Throughput using Unfolding Transformation
Published 2022“…To put it another way, one cycle of the SHA-256 design can generate up to four parallel inputs for the output. …”
Get full text
Get full text
Get full text
Get full text
Article
