Search Results - (( intelligence based acs algorithm ) OR ( intelligence valid bees algorithm ))
Search alternatives:
- intelligence based »
- intelligence valid »
- bees algorithm »
- acs algorithm »
- based acs »
-
1
Selective harmonic elimination in cascaded H-bridge multilevel inverter using hybrid APSO algorithm / Mudasir Ahmed
Published 2019“…The preliminary review of existing control techniques revealed that the Bio-inspired intelligent algorithms (BIAs) based selective harmonic elimination pulse width modulation (SHEPWM) are more proficient to eliminate the loworder harmonics. …”
Get full text
Get full text
Get full text
Thesis -
2
Hybrid ant colony system algorithm for static and dynamic job scheduling in grid computing
Published 2015“…The algorithms are ACS(GA), ACS+GA, ACS(TS), and ACS+TS. …”
Get full text
Get full text
Get full text
Thesis -
3
-
4
Hybrid Artificial Bees Colony Algorithms For Optimizing Carbon Nanotubes Characteristics
Published 2018“…Optimization is a crucial process to select the best parameters in single and multi-objective problems for manufacturing process.However,it is difficult to find an optimization algorithm that obtain the global optimum for every optimization problem.Artificial Bees Colony (ABC) is a well-known swarm intelligence algorithm in solving optimization problems.It has noticeably shown better performance compared to the state-of-art algorithms.This study proposes a novel hybrid ABC algorithm with β-Hill Climbing (βHC) technique (ABC-βHC) in order to enhance the exploitation and exploration process of the ABC in optimizing carbon nanotubes (CNTs) characteristics.CNTs are widely used in electronic and mechanical products due to its fascinating material with extraordinary mechanical,thermal,physical and electrical properties. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
5
A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…The developed framework, grounded in fault-based testing theory, comprises three key components: inputs, prioritization factors, and a prioritization algorithm. The framework was subsequently verified and validated through expert reviews and experimental testing. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
6
Optimize single line to ground fault detection in distribution grid power system using artificial bee colony
Published 2023“…ABC intelligently optimizes many mathematical problems. ABC with network neural artificial intelligence (AI) improves algorithm performance (artificial bee colony network neural (ABCNN)). …”
Get full text
Get full text
Get full text
Article -
7
-
8
-
9
Hybridization of enhanced ant colony system and Tabu search algorithm for packet routing in wireless sensor network
Published 2020“…This research proposes a hybridization of Enhanced ACS and Tabu Search (EACS(TS)) algorithm for packet routing in WSN. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
10
A speech recognition system based on structure equivalent fuzzy neural network trained by firefly algorithm
Published 2012Get full text
Working Paper -
11
-
12
Optimised intelligent tilt controller scheme using genetic algorithms
Published 2006Get full text
Get full text
Get full text
Conference or Workshop Item -
13
-
14
-
15
-
16
-
17
Transmission loss minimization using SVC based on particle swarm optimization
Published 2011“…The simulations results are compared with those obtained from the Bee Algorithm (BA) technique in the attempt to highlight its merit.…”
Get full text
Get full text
Get full text
Conference or Workshop Item -
18
Optimal placement of actuator for vibration suppression based on intelligent PID controller
Published 2020“…Hence, this research presents the optimal placement of actuator and sensor on the experimental rig for vibration cancelation of the flexible plate structure based on intelligent PID controller. The PID controller tuned by artificial bee colony (ABC) algorithm was used to control the undesired vibration on the structure. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
19
Advanced fault detection in DC microgrid system using reinforcement learning
Published 2021“…A fault detector based artificial intelligence should be implemented into the DC microgrid system to protect it. …”
Get full text
Get full text
Get full text
Get full text
Proceedings -
20
