A micro-GA embedded PSO feature selection approach to intelligent facial emotion recognition
This paper proposes a facial expression recognition system using evolutionary particle
swarm optimization (PSO)-based feature optimization. The system first employs modified …
swarm optimization (PSO)-based feature optimization. The system first employs modified …
PSOSCALF: A new hybrid PSO based on Sine Cosine Algorithm and Levy flight for solving optimization problems
The development of the meta-heuristic algorithms for solving the optimization problems and
constrained engineering problems is one of the topics of interest to researchers in recent …
constrained engineering problems is one of the topics of interest to researchers in recent …
A systematic overview of developments in differential evolution and particle swarm optimization with their advanced suggestion
RP Parouha, P Verma - Applied Intelligence, 2022 - Springer
An efficient survey of numerous traditional metaheuristic algorithms (MAs) has been
investigated in this paper. Among successful MAs, differential evolution (DE) and particle …
investigated in this paper. Among successful MAs, differential evolution (DE) and particle …
A hybridization of an improved particle swarm optimization and gravitational search algorithm for multi-robot path planning
This paper proposed a new methodology to determine the optimal trajectory of the path for
multi-robot in a clutter environment using hybridization of improved particle swarm …
multi-robot in a clutter environment using hybridization of improved particle swarm …
Self regulating particle swarm optimization algorithm
In this paper, we propose a new particle swarm optimization algorithm incorporating the best
human learning strategies for finding the optimum solution, referred to as a Self Regulating …
human learning strategies for finding the optimum solution, referred to as a Self Regulating …
Multi-robot path planning using improved particle swarm optimization algorithm through novel evolutionary operators
PK Das, PK Jena - Applied Soft Computing, 2020 - Elsevier
The highlight of this paper is to propose an innovative approach to compute an optimal
collision free trajectory path for each robot in a known and complex environment. The …
collision free trajectory path for each robot in a known and complex environment. The …
A novel directional and non-local-convergent particle swarm optimization based workflow scheduling in cloud–edge environment
Y Xie, Y Zhu, Y Wang, Y Cheng, R Xu, AS Sani… - Future Generation …, 2019 - Elsevier
With the increasing popularity of Internet of Things (IoT), edge computing has become the
key driving force to provide computing resources, storage and network services closer to the …
key driving force to provide computing resources, storage and network services closer to the …
Intelligent skin cancer detection using enhanced particle swarm optimization
In this research, we undertake intelligent skin cancer diagnosis based on dermoscopic
images using a variant of the Particle Swarm Optimization (PSO) algorithm for feature …
images using a variant of the Particle Swarm Optimization (PSO) algorithm for feature …
Optimization of parameters that affect wear of A356/Al2O3 nanocomposites using RSM, ANN, GA and PSO methods
B Stojanović, S Gajević, N Kostić… - Industrial Lubrication …, 2022 - emerald.com
Purpose This study aims to present a novel methodology for the evaluation of tribological
properties of new nanocomposites with the A356 alloy matrix reinforced with aluminium …
properties of new nanocomposites with the A356 alloy matrix reinforced with aluminium …
Hierarchical learning particle swarm optimization using fuzzy logic
Y Wang, Z Wang, GG Wang - Expert Systems with Applications, 2023 - Elsevier
Particle swarm optimization (PSO) has been used extensively in numerical and engineering
optimization problems in the last decades. However, due to drawbacks such as a single …
optimization problems in the last decades. However, due to drawbacks such as a single …