Search Results - (( based application swarm algorithm ) OR ( based applications learning algorithm ))*
Search alternatives:
- applications learning »
- based applications »
- learning algorithm »
- based application »
- application swarm »
- swarm algorithm »
-
1
Static code analysis of permission-based features for android malware classification using apriori algorithm with particle swarm optimization
Published 2015“…Several machine learning techniques based on supervised learning have been applied to classify malware. …”
Get full text
Get full text
Get full text
Article -
2
Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
Published 2020“…In addition, ISSA was compared with four well-known optimization algorithms such as Genetic Algorithm, Particle Swarm Optimization, Grasshopper Optimization Algorithm, and Ant Lion Optimizer. …”
Get full text
Get full text
Article -
3
-
4
-
5
Opposition-based learning simulated kalman filter for Numerical optimization problems
Published 2016“…The SKF with opposition-based learning is also applied as adaptive beamforming algorithm for adaptive array antenna. …”
Get full text
Get full text
Research Book Profile -
6
-
7
Multi-Agent Reinforcement Learning For Swarm Robots Formation
Published 2021Get full text
Get full text
Monograph -
8
Deriving Optimal Operation Rule for Reservoir System Using Enhanced Optimization Algorithms
Published 2025“…This study delves into the exploration of different algorithms, including Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Firefly Algorithm (FA), Invasive Weed Optimization (IWO), Teaching Learning-Based Optimization (TLBO), and Harmony Search (HS). …”
Article -
9
Android Malware classification using static code analysis and Apriori algorithm improved with particle swarm optimization
Published 2014“…Several machine learning techniques based on supervised learning have been adopted in the classification of malware. …”
Get full text
Get full text
Get full text
Proceeding Paper -
10
Advancements and challenges in mobile robot navigation: a comprehensive review of algorithms and potential for self-learning approaches
Published 2024“…With the goal of enhancing the autonomy in mobile robot navigation, numerous algorithms (traditional AI-based, swarm intelligence-based, self-learning-based) have been built and implemented independently, and also in blended manners. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
11
A Modified Particle Swarm Optimization for Efficient Maximum Power Point Tracking Under Partial Shading Condition
Published 2024“…Therefore, a modified PSO hybridized with adaptive local search (MPSO-HALS) is designed as a robust, real-time MPPT algorithm. A modified initialization scheme that leverages grid partitioning and oppositional-based learning is incorporated to produce an evenly distributed initial population across P-V curve. …”
Article -
12
Water level forecasting using feed forward neural networks optimized by African Buffalo Algorithm (ABO)
Published 2019“…This research proposed a swarm intelligence training algorithm, Improved African Buffalo Optimization algorithm (IABO) based on the Metaheuristic method called the African Buffalo Optimization algorithm (ABO). …”
Get full text
Get full text
Thesis -
13
A review of training methods of ANFIS for applications in business and economic
Published 2016“…Moreover, the standard gradient based learning via two pass learning algorithm is prone slow and prone to get stuck in local minima. …”
Get full text
Get full text
Article -
14
-
15
-
16
A sequential handwriting recognition model based on a dynamically configurable convolution recurrent neural network and hybrid salp swarm algorithm
Published 2024“…The built DCCRNN is based on the Salp Swarm optimization Algorithm (SSA), a processor that given a particular dataset will find the best CRNN’s structure and hyperparameters. …”
Get full text
Get full text
Thesis -
17
-
18
-
19
-
20
Multi-stage thermal-economical optimization of compact heat exchangers: A new evolutionary-based design approach for real-world problems
Published 2015“…Furthermore, the proposed algorithm has shown a superior performance in finding the near-optimum solution for this task when it is compared to the most popular evolutionary algorithms in engineering applications, i.e. genetic algorithm (GA) and particle swarm optimization (PSO).…”
Get full text
Get full text
Article
