Major advances in particle swarm optimization: theory, analysis, and application
EH Houssein, AG Gad, K Hussain… - Swarm and Evolutionary …, 2021 - Elsevier
Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …
Long short term memory hyperparameter optimization for a neural network based emotion recognition framework
Recently, emotion recognition using low-cost wearable sensors based on
electroencephalogram and blood volume pulse has received much attention. Long short …
electroencephalogram and blood volume pulse has received much attention. Long short …
Short term traffic state prediction via hyperparameter optimization based classifiers
Short-term traffic state prediction has become an integral component of an advanced
traveler information system (ATIS) in intelligent transportation systems (ITS). Accurate …
traveler information system (ATIS) in intelligent transportation systems (ITS). Accurate …
A new multiple robot path planning algorithm: dynamic distributed particle swarm optimization
A Ayari, S Bouamama - Robotics and biomimetics, 2017 - Springer
Multiple robot systems have become a major study concern in the field of robotic research.
Their control becomes unreliable and even infeasible if the number of robots increases. In …
Their control becomes unreliable and even infeasible if the number of robots increases. In …
Dynamic Distributed PSO joints elites in Multiple Robot Path Planning Systems: theoretical and practical review of new ideas
A Asma, B Sadok - Procedia computer science, 2017 - Elsevier
Path planning problem for large number of robots is a quite challenging problem in mobile
robotics since their control and coordination becomes unreliable and sometimes unfeasible …
robotics since their control and coordination becomes unreliable and sometimes unfeasible …
Competitive swarm optimizer with mutated agents for finding optimal designs for nonlinear regression models with multiple interacting factors
This paper proposes a novel enhancement for competitive swarm optimizer (CSO) by
mutating loser particles (agents) from the swarm to increase the swarm diversity and …
mutating loser particles (agents) from the swarm to increase the swarm diversity and …
Optimum utilization of grid‐connected hybrid power system using hybrid particle swarm optimization/whale optimization algorithm
O Oladepo, TO Ajewole, TT Awofolaju - Energy Storage, 2022 - Wiley Online Library
Network management and optimization play a crucial role in integrating renewable energy
sources on the distribution network. This paper presents the optimization of the grid …
sources on the distribution network. This paper presents the optimization of the grid …
Improved particle swarm optimizer for problems with variable evaluation time: Application to asymptotic homogenization
A Argilaga, N Guo - International Journal for Numerical …, 2022 - Wiley Online Library
This work presents a new particle swarm optimizer (PSO)‐based metaheuristic algorithm
designed to reduce overall computational cost without compromising optimization's …
designed to reduce overall computational cost without compromising optimization's …
Driver stress levels detection system using hyperparameter optimization
Stress and driving are a dangerous combination which can lead to crashes, as evidenced by
the large number of road traffic crashes that involve stress. Therefore, it is essential to build a …
the large number of road traffic crashes that involve stress. Therefore, it is essential to build a …
ECG-based driver stress levels detection system using hyperparameter optimization
Stress and driving are a dangerous combination which can lead to crashes, as evidenced by
the large number of road traffic crashes that involve stress. Motivated by the need to address …
the large number of road traffic crashes that involve stress. Motivated by the need to address …