Swarm intelligence and PSO algorithms
A COMPARATIVE STUDY OF PARTICLE SWARM OPTIMIZATION AND GRAVITATIONAL SEARCH ALGORITHM IN POULTRY HOUSE TEMPERATURE CONTROL SYSTEM
... Particle Swarm Optimization Algorithm (PSO) is one of swarm intelligence optimization ...searching algorithms (Adel & Songfeng, 2016). The main idea behind PSO is originated ...
18
Multi-Area Economic Dispatch Performance Using Swarm Intelligence Technique Considering Voltage Stability
... Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) ...optimization algorithms are only tested on the single-area power system, hence proving that all these algorithms are ...
7
IJCSMC, Vol. 3, Issue. 5, May 2014, pg.994 – 998 SURVEY ARTICLE A Survey on Swarm Intelligence Algorithms
... of PSO results from its use of swarm intelligence to search for the best solution to a complex ...The swarm intelligence can be described as a system that automatically evolves by ...
5
A Novel Approach For Solving Economic Dispatch Problems Using Particle Swarm Optimization Technique
... particle swarm optimization (PSO) to provide a rapid solution to solve ED ...other, PSO algorithms have single particle gives a solution to solve the main ...the PSO compared with that ...
15
Optimizing blasting’s air overpressure prediction model using swarm intelligence
... Genetic Algorithms (GA)) to predict AOp ...on swarm intelligence (SI) algorithm; particle swarm optimization (PSO) and multi swarm optimization (MSO) were utilized to predict AOp ...
8
Swarm Intelligence Techniques focusing Particle Swarm Optimization (PSO)
... Particle Swarm Optimization algorithm is similar to many population based algorithms such as Genetic Algorithm but they don’t have any direct re-combination of individuals of the ...evolutionary ...
6
Optimization of Fairhurst Cook Model for 2 D Wing Cracks Using Ant Colony Optimization (ACO), Particle Swarm Intelligence (PSO), and Genetic Algorithm (GA)
... These steps repeated several times, in order to achieve better results of wedg- ing force without exiting the valid range for each parameter and as it can be seen in this table, Particle Swarm Intelligence ...
15
An Optimistic Web Service Selection using Multi Colony – Particle Swarm Optimization (MC – PSO) algorithm
... Multi Swarm Particle Swarm Optimization (MS-PSO) algorithm inspired by the animal collective behavior, the movement of the swarm and the intelligence of the ...population PSO to ...
10
Performance comparison of firefly algorithm i...
... neighbourhood. Swarm Intelligence (SI) can be defined as the collective behaviour of swarms which are decentralized and ...The intelligence of swarm lies in the network of social interactions ...
9
EEG Signal Classification Using ANN Trained With Hybrid PSO And GSA
... optimization algorithms. Some of the popular models that combined ANN with swarm intelligence method includes ANN trained using algorithms such as genetic algorithm (GA), particle swarm ...
7
An Analytical Study of the Remote Sensing Image Classification Using Swarm Intelligence Techniques
... various swarm intelligence based algorithms in the field of remote sensing image ...The algorithms considered for the comparison were BBO, PSO, ABC, CS, Hybrid ABC/BBO, Hybrid ACO/BBO, ...
9
Rule Discovery for Binary Classification Problem using ACO based Antminer
... inspired algorithms such as Genetic Algorithms (GA) and Swarm based approaches like Ant Colonies based algorithms have been successfully used by many ...Particle Swarm Optimization ...
5
Using Intelligent Computational Methods for Optimizing Niching Method
... and swarm experiences of ...(1), PSO will be a process in which, search space gradually becomes smaller and local search is performed around the best ...of PSO algorithm is shown in Figure ...
7
Comparing Performance of Various Optimization Algorithms for Effective Information Retrieval – A Review
... used swarm intelligence to solve the problem of query expansion, First, they have calculated rank of the pseudo relevant documents using document scoring function like OKAPI 25, next they have extracted ...
6
Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification
... is Swarm, the intelligence algorithm is PSO, and the assistant verifi- cation algorithm is Neural Network, which will cooperate with each other to find two suitable and best parameters (N of ...
15
Artificial Neural Network Learning Enhancement using Bacterial Foraging Optimization Algorithm
... The process of optimizing the connection weights is known as training or learning. The network learns a function by adapting the strength of its connection weights in response to the training examples presented to it in ...
7
A Novel Algorithm For Generation Rescheduling Based Congestion Management
... as PSO- based rescheduling strategy, GA-based rescheduling strategy, ABC-based rescheduling strategy, and FF-based rescheduling strategy using convergence analysis, cost analysis, and congestion ...
12
NATURE-INSPIRED TECHNIQUES FOR OPTIMIZATION: A BRIEF REVIEW
... Cat Swarm is an optimization algorithm that describes the common behaviour of cats. Cats have concentration about objects in action and have a great tracking skill. [10] It might be thinking that cats spend most ...
9
A REVIEW OF SWARM INTELLIGENCE METAHEURISTICS
... different swarm intelligence algorithms like ant colony, firefly algorithm, particle swarm optimization and bat ...different swarm intelligence ...
5
Configuration of PID Controller for Speed Control of DC Motor utilizing Optimization Techniques and innovations strategies Santosh Kumar Suman, Vinod Kumar Giri
... particle swarm optimization (PSO) techniques, genetic algorithms (GAs), Differential Evolution (DE) and fuzzy logic controller plays the vital role of the control system and good performance in this ...
8