[PDF][PDF] An efficient holy Quran recitation recognizer based on SVM learning model
Holy Quran recitation recognition refers to the process of identifying the type of recitation,
among those authorized styles of recitation (“Qira'ah” in Arabic). Several previous studies …
among those authorized styles of recitation (“Qira'ah” in Arabic). Several previous studies …
[HTML][HTML] A modified particle swarm optimization algorithm based on velocity updating mechanism
C Wang, W Song - Ain Shams Engineering Journal, 2019 - Elsevier
Due to less parameters and simple operations in PSO, PSO has attracted the attention of
many researchers. However, it amy fall into local optimum and the search precision is not …
many researchers. However, it amy fall into local optimum and the search precision is not …
Adaptive cooperation of multi-swarm particle swarm optimizer-based hidden Markov model
The classical PSO algorithm can be affected with premature convergence when it comes to
more complex optimization problems; the resolution easily can be trapped into local optima …
more complex optimization problems; the resolution easily can be trapped into local optima …
[PDF][PDF] The behaviour of ACS-TSP algorithm when adapting both pheromone parameters using fuzzy logic controller
In this paper, an evolved ant colony system (ACS) is proposed by dynamically adapting the
responsible parameters for the decay of the pheromone trails 𝜉and 𝜌using fuzzy logic …
responsible parameters for the decay of the pheromone trails 𝜉and 𝜌using fuzzy logic …
Parameter adaptation for ant colony system algorithm using hidden markov model for tsp problems
In this paper we control the potentials of exploration and exploitation into the Ant Colony
System (ACS) by dynamically adapting the parameter relative to the importance of heuristic …
System (ACS) by dynamically adapting the parameter relative to the importance of heuristic …
[HTML][HTML] Deep Q-Network-Enhanced Self-Tuning Control of Particle Swarm Optimization
O Aoun - Modelling, 2024 - mdpi.com
Particle Swarm Optimization (PSO) is a widespread evolutionary technique that has
successfully solved diverse optimization problems across various application fields …
successfully solved diverse optimization problems across various application fields …
A Knowledge-Based hybrid approach on particle swarm optimization using hidden Markov models
M Castillo, R Soto, B Crawford, C Castro, R Olivares - Mathematics, 2021 - mdpi.com
Bio-inspired computing is an engaging area of artificial intelligence which studies how
natural phenomena provide a rich source of inspiration in the design of smart procedures …
natural phenomena provide a rich source of inspiration in the design of smart procedures …
Optimized model predictive control for unmanned aerial vehicles with sensor uncertainties
In this paper, a novel control strategy based on model predictive control is proposed for
tracking the trajectory of unmanned aerial vehicles (UAV). First, the dynamic model of an …
tracking the trajectory of unmanned aerial vehicles (UAV). First, the dynamic model of an …
综合维度学习的多群协作粒子群优化算法.
张其文, 王杨婷 - Application Research of Computers …, 2022 - search.ebscohost.com
针对维度学习策略(dimensionallearningstrategy, DLS) 中存在的过度开发问题,
提出了一种综合维度学习的多群协作粒子群优化算法(CDL MCPSO). 为提高种群搜索效率 …
提出了一种综合维度学习的多群协作粒子群优化算法(CDL MCPSO). 为提高种群搜索效率 …
Adjusting population size of ant colony system using fuzzy logic controller
The population size has a very strong impact on the efficiency, solution quality, and
computational cost in a Swarm Intelligence (SI). In Ant Colony System algorithm, and as a …
computational cost in a Swarm Intelligence (SI). In Ant Colony System algorithm, and as a …