A5012548460- Quantum Information and Cryptography
- IoT and Edge/Fog Computing
- Internet of Things and AI
- IoT-based Smart Home Systems
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Advanced Multi-Objective Optimization Algorithms
- Quantum Computing Algorithms and Architecture
- Quantum Mechanics and Applications
Bule Hora University
2022-2023
Evolutionary Algorithms (EAs) are powerful heuristic search approaches which relies on Darwinian evolution that capture global solutions to complex optimization problems has features of reliability and versatility. such as Particle swarm (PSO) is a method extremely effective. PSO's flaws include slow convergence, premature getting stuck at local optima. In this paper, chaotic map dynamic-weight Swarm Optimization (CHDPSOA) combined with PSO enhance the strategy through adjusting inertia...
Quantum machine learning uses quantum mechanical concepts of superposition states to make the decision. In this work, we used these advantages enhance deep reinforcement (DRL). Our primary and foremost goal is investigate elucidate a way representing solving frozen lake problems by using PennyLane which contains Xanadu’s back-end processing unit. This paper specifically discusses how classical algorithms with computing technology, making agents get maximum reward after fixed number epochs...