scholarly journals Multi-stage Adaptive BA-ACO Hybrid Swarm Intelligence Algorithm

2021 ◽  
Vol 57 (6) ◽  
pp. 236
Keyword(s):  
Swarm Intelligence ◽  
Hybrid Swarm ◽  
Intelligence Algorithm ◽  
Multi Stage ◽  
Swarm Intelligence Algorithm

Protecting ECG Signals with Hybrid Swarm Intelligence Algorithm

2021 ◽  
pp. 47-60
Author(s):  
Ayushi Kirar ◽  
Siddharth Bhalerao ◽  
Om Prakash Verma ◽  
Irshad Ahmad Ansari
Keyword(s):  
Swarm Intelligence ◽  
Hybrid Swarm ◽  
Ecg Signals ◽  
Intelligence Algorithm ◽  
Swarm Intelligence Algorithm

Parameter estimation of Lorenz chaotic system using a hybrid swarm intelligence algorithm

2016 ◽  
Vol 380 (11-12) ◽  
pp. 1164-1171 ◽  
Author(s):  
Juan A. Lazzús ◽  
Marco Rivera ◽  
Carlos H. López-Caraballo
Keyword(s):  
Parameter Estimation ◽  
Swarm Intelligence ◽  
Chaotic System ◽  
Hybrid Swarm ◽  
Intelligence Algorithm ◽  
Lorenz Chaotic System ◽  
Swarm Intelligence Algorithm

scholarly journals A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA

2013 ◽  
Vol 13 (5) ◽  
pp. 2990-2996 ◽  
Author(s):  
Mehmet E. Aydin ◽  
Raymond Kwan ◽  
Cyril Leung ◽  
Carsten Maple ◽  
Jie Zhang
Keyword(s):  
Swarm Intelligence ◽  
Hybrid Swarm ◽  
Intelligence Algorithm ◽  
Multiuser Scheduling ◽  
Swarm Intelligence Algorithm

scholarly journals A New Compound Swarm Intelligence Algorithms for Solving Global Optimization Problems

2013 ◽  
Vol 10 (9) ◽  
pp. 2010-2020
Author(s):  
Ibrahim M. Hezam ◽  
Osama Abdel Raouf ◽  
Mohey M. Hadhoud
Keyword(s):  
Swarm Intelligence ◽  
Firefly Algorithm ◽  
Research Study ◽  
Optimization Problems ◽  
Cuckoo Search ◽  
Hybrid Swarm ◽  
Swarm Optimization ◽  
Intelligence Algorithm ◽  
Swarm Algorithms ◽  
Swarm Intelligence Algorithm

This paper proposes a new hybrid swarm intelligence algorithm that encompasses the feature of three major swarm algorithms. It combines the fast convergence of the Cuckoo Search (CS), the dynamic root change of the Firefly Algorithm (FA), and the continuous position update of the Particle Swarm Optimization (PSO). The Compound Swarm Intelligence Algorithm (CSIA) will be used to solve a set of standard benchmark functions. The research study compares the performance of CSIA with that of CS, FA, and PSO, using the same set of benchmark functions. The comparison aims to test if the performance of CSIA is Competitive to that of the CS, FA, and PSO algorithms denoting the solution results of the benchmark functions.

scholarly journals Improved Hybrid Swarm Intelligence Algorithm for Voice Command Recognition

2020 ◽  
Vol 55 (2) ◽  
Author(s):  
Jamal Salahaldeen Majeed Alneamy ◽  
Ghada Mohammad Tahir Kasim Aldabagh
Keyword(s):  
Neural Network ◽  
Swarm Intelligence ◽  
Hybrid Swarm ◽  
Voice Command ◽  
Intelligence Algorithm ◽  
Connectionist System ◽  
Simple Rules ◽  
Open Window ◽  
Lion Optimization Algorithm ◽  
Swarm Intelligence Algorithm

Swarm intelligence involves the aggregation of the boids, which interact with each other in their own environment. The boids are agents that follow simple rules in the absence of centralized structure. The Artificial Neural Network is also known as a connectionist system that originated from the biological neural network. The aim of the present study is to improve the hybrid swarm intelligence algorithm for voice command recognition. The proposed algorithm hybrid combines the lion optimization algorithm with the fish swarm algorithm, and was improved upon using voice features. Approximately ten voice commands were recorded, including “open”, “close”, “open door”, “close door”, “open window”, “close window”, “on”, “off”, “play”, and “stop”.

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