Search Results - (( development driving evolution algorithm ) OR ( java evolution optimization algorithm ))
Search alternatives:
- evolution optimization »
- development driving »
- evolution algorithm »
- driving evolution »
- java »
-
1
Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…The aim of this evolution is to reflect the unseen time overhead incurred by optimal real-time algorithm, represented by LRE-TL, which might hinder the claimed optimality of such algorithms when they are practically implemented. …”
Get full text
Get full text
Conference or Workshop Item -
2
Agro-ento bioinformation: towards the edge of reality
Published 2002“…Consequently, bioinformation is commencing to thrive as a global entity, which revolutionizes and drives societal progress. Bioinformation, in brief, comprises biology, information algorithms, information technology, and communication protocols. …”
Get full text
Get full text
Inaugural Lecture -
3
Fingerprint frontier: the evolution of biometric security
Published 2023“…Chapter two provides a detailed lens into the core mechanics, followed by an exploration of the algorithms that drive the matching processes in Chapter Three. …”
Get full text
Get full text
Get full text
Book -
4
Using the evolutionary mating algorithm for optimizing deep learning parameters for battery state of charge estimation of electric vehicle
Published 2023“…According to the simulation results, the proposed EMA-DL algorithm was found to outperform all the other compared algorithms based on the evaluated metrics. …”
Get full text
Get full text
Get full text
Get full text
Article -
5
Artificial neural controller synthesis for TORCS
Published 2015“…As a conclusion, this research has shown that the DE hybrid FFNN algorithm and PDE hybrid FFNN algorithm are useful and promising in evolving autonomous car racing controller.…”
Get full text
Get full text
Thesis -
6
Development of a robust intelligent controller for a semi-active car suspension system
Published 2022“…Commonly, the Fuzzy rules are optimized using offline optimization methods such as Differential Evolutionary (DE), Particle Swarms Optimization (PSO), or Artificial Neural Network (ANN) algorithms. In this research, Differential Evolution (DE) algorithm is modified to enhance the Fuzzy logic output gains to increase the performance of PID portion of the Fuzzy-PID controller. …”
Get full text
Get full text
Thesis -
7
A conceptual Malaysian private healthcare university-of-the-future business model: staying relevant in the digital and post-covid era
Published 2022“…Moreover, along with the unexpected arrival of the COVID-19 pandemic and various disruptors driving for change including the evolution of digital technologies, democratization of knowledge, global mobility, demographic shifts, and the rise of online educational services, HEIs are in need of new alternate business models for agility, relevancy, and to continue to thrive and operate to offer value and reclaim their position as drivers of innovation, economic development and societal well-being. …”
Get full text
Get full text
Get full text
Article -
8
Techno-economic evaluation of off-grid hybrid renewable energy system for rural resort electrification in Malaysia / Monowar Hossain
Published 2017“…For these purposes, the standalone ANFIS, ANFIS-PSO (particle swarm optimization),ANFIS-GA (genetic algorithm) and ANFIS-DE (differential evolution) prediction algorithms have been developed in MATLAB platform. …”
Get full text
Get full text
Thesis
