Search Results - (( intelligence system graph algorithm ) OR ( intelligence valid bat algorithm ))
Search alternatives:
- intelligence system »
- intelligence valid »
- graph algorithm »
- bat algorithm »
- system graph »
-
1
Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…The aim of the research is to introduce novel form of swarm intelligence algorithms based on real echolocation behaviour of bats. …”
Get full text
Get full text
Thesis -
2
A New Bats Echolocation-based Algorithm for Single Objective Optimisation
Published 2016“…Bats sonar algorithm (BSA) as a swarm intelligence approach utilises the concept of echolocation of bats to find prey. …”
Get full text
Get full text
Get full text
Get full text
Article -
3
Improved Bat Algorithm for faster convergence in solving optimisation problem
Published 2021“…In this study, one of the metaheuristic algorithms known as the Bat Algorithm (BA) has been discussed. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
4
-
5
Modeling of static and dynamic components of bio-nanorobotic systems
Published 2012“…The first modeling technique applies graph algorithms to compute a new set of optimal weighted structural properties of C60 and C70 fullerenes. …”
Get full text
Get full text
Thesis -
6
Heuristic factors in ant system algorithm for course timetabling problem
Published 2009Get full text
Get full text
Conference or Workshop Item -
7
Hybrid bat algorithm for minimum dominating set problem
Published 2017Get full text
Get full text
Article -
8
Optimization of Maximum Power Point Tracking (MPPT) of Photovoltaic System using Artificial Intelligence (AI) Algorithms
Published 2013“…Studies on the conventional and intelligent algorithms are conducted and a comparison between their efficiencies and drawbacks is presented. …”
Get full text
Get full text
Final Year Project -
9
Industry 5.0 and Education 5.0: Transforming Vocational Education through Intelligent Technology
Published 2024“…By analyzing the research gaps in personalized learning paths, emotion-driven learning, crossdisciplinary integration, and long-term learning behavior analysis, the paper proposes four improved algorithms: the adaptive learning path generation algorithm, the emotion-driven personalized learning algorithm, the cross-disciplinary knowledge graph algorithm, and the long-term learning behavior prediction algorithm. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
10
Task scheduling in cloud computing using Harris-Hawk Optimization
Published 2024“…In this study, the proposed HHO algorithm is simulated and compared with other well-known swarm intelligence algorithms, including Bat Algorithm (BA), Grey Wolf Optimization (GWO), and Particle Swarm Optimization (PSO). …”
Get full text
Get full text
Get full text
Proceedings -
11
A Robust Graph Theoretic Solution of Routing in Intelligent Networks
Published 2022Get full text
Get full text
Article -
12
Graph theory-based radial load flow analysis to solve the dynamic network reconfiguration problem
Published 2016“…This paper has presented an intelligent graph theory-based RLF analysis to solve "dynamic" problems. …”
Get full text
Get full text
Article -
13
-
14
-
15
-
16
Comparison performances between MABSA-PI controller and MABSA-PD controller for DC motor position system
Published 2023“…Modified adaptive bats sonar algorithm (MABSA) will be implemented in the PI controller and PD controller as the main algorithm. …”
Get full text
Get full text
Get full text
Article -
17
-
18
Intelligent technique for grading tropical fruit using magnetic resonance imaging
Published 2013“…Recent application of modern marketing techniques coupled with intelligent agricultural systems of production has transformed small scale farming into large scale, in most part of the world. …”
Get full text
Get full text
Get full text
Article -
19
Application of augmented bat algorithm with artificial neural network in forecasting river inflow of hydroelectric reservoir stations in Malaysia
Published 2023“…However, standalone models, such as Artificial Neural Network (ANN), typically underperform during local convergence and resulted in slow-speed convergence. Thus, Bat Algorithm (BA) was used to enhance the efficiency of ANN in forecasting upstream river SF, as BA is capable of switching from the “explore to exploit” function which could increase the rate of convergence at the initial stage and deliver a quick result for a majority of a classification problem. …”
text::Thesis -
20
